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Holonomic constraints

Holonomic constraints are restrictions imposed on the motion of a mechanical system that can be expressed as equations involving only the generalized coordinates and possibly time, without dependence on velocities.^[1] These constraints are integrable, meaning they define a lower-dimensional submanifold within the full configuration space, thereby reducing the number of independent coordinates needed to describe the system's configuration.^[2] In classical mechanics, particularly within the framework of Lagrangian and Hamiltonian formulations, holonomic constraints play a crucial role by simplifying the equations of motion through the selection of generalized coordinates that inherently satisfy the constraints.^[3] When such constraints are present, the Lagrangian can be modified using Lagrange multipliers to account for the constraint forces, which are always perpendicular to the allowable directions of motion and thus perform no work on the system.^[2] This approach contrasts with nonholonomic constraints, which involve velocities and cannot be reduced to position-dependent equations, often requiring alternative methods like d'Alembert's principle for their incorporation.^[4] Common examples of holonomic constraints include a particle confined to the surface of a sphere, where the constraint equation is x^2 + y^2 + z^2 = R^2, or a simple pendulum, where the length of the string provides the constraint \sqrt{x^2 + y^2 + z^2} = L.^[1] In more complex systems, such as a double pendulum in a plane, multiple holonomic constraints arise from the fixed lengths of the rods, reducing the six Cartesian coordinates to two angles.^[1] The term "holonomic," derived from the Greek word meaning "whole" or "entire," reflects how these constraints fully specify the allowable configurations without path-dependent restrictions.^[2]

Fundamentals

Definition

In classical mechanics, holonomic constraints are position-dependent relations that restrict the possible configurations of a mechanical system, expressed as equations of the form f(q_1, q_2, \dots, q_n, t) = 0, where q_i are the generalized coordinates describing the system's positions and t is time.^[5] Generalized coordinates are a minimal set of independent parameters that fully specify the configuration space of the system, allowing the elimination of redundant variables from the original Cartesian coordinates of its particles.^[6] These constraints do not involve velocities or higher derivatives, thereby defining a submanifold within the full configuration space on which the system's motion is confined.^[7] For a system of N particles in three-dimensional space, unconstrained motion has $3N[degrees of freedom](/page/Degrees_of_freedom); each independent [holonomic constraint](/page/Constraint) reduces this number by one, yielding3N - m[degrees of freedom](/page/Degrees_of_freedom) form such constraints, assuming they are mutually independent and non-redundant. Holonomic constraints are characterized by their integrability, meaning the [differential](/page/Differential) [constraint](/page/Constraint) equations can be integrated to yield an explicit relation solely in terms of positions and time, distinguishing them from non-holonomic constraints, which depend on velocities and cannot be so integrated./30%3A_A_Rolling_Sphere_on_a_Rotating_Plane/30.02%3A_Holonomic_Constraints_and_non-Holonomic_Constraints) Furthermore, holonomic constraints are classified as scleronomic if time-independent (f(q_1, \dots, q_n) = 0$) or rheonomic if explicitly time-dependent.^[8] The term "holonomic" was introduced by Heinrich Hertz in 1894 in his work on analytical mechanics, deriving from Greek roots meaning "complete law" to emphasize constraints that fully specify positional relations.^[9]

Terminology

Holonomic constraints are classified into two subtypes based on their dependence on time: scleronomic constraints, which are time-independent and expressed as f(\mathbf{q}) = 0, where \mathbf{q} denotes the generalized coordinates, and rheonomic constraints, which explicitly depend on time and take the form f(\mathbf{q}, t) = 0.^[10]^[11] Scleronomic constraints define fixed relations among the coordinates, whereas rheonomic constraints allow the permissible configurations to vary over time, such as in systems with moving boundaries.^[12]^[13] A holonomic system refers to a mechanical system in which all imposed constraints are holonomic, enabling the dynamics to be fully described using a reduced set of generalized coordinates that capture only the independent positions, with the number of such coordinates equal to the degrees of freedom.^[14]^[15] In such systems, the constraints eliminate dependent variables, simplifying the formulation of the Lagrangian or Hamiltonian without needing additional velocity-dependent terms.^[16] The configuration manifold represents the space of all possible configurations of the system, which holonomic constraints reduce to a lower-dimensional submanifold by restricting the allowable positions.^[17]^[18] This reduction preserves the geometric structure, allowing the system's evolution to be analyzed on the constrained manifold. Related to this, ignorable coordinates, also known as cyclic coordinates, are generalized coordinates that do not appear explicitly in the Lagrangian of a holonomic system. This independence leads to the conservation of their conjugate momenta.^[19]^[20] Standard notation for holonomic constraints employs equations of the form f_k(\mathbf{q}, t) = 0 for k = 1 to m, where m is the number of constraints and each f_k is a smooth function enforcing the restriction.^[21]^[22] These constraints can also be represented in differential form as Pfaffian equations, though detailed analysis of such forms is addressed elsewhere.^[10]

Examples

Gantry crane

A gantry crane features a load suspended by a cable from a horizontal beam that translates along fixed tracks, typically in an industrial setting for material handling. This setup imposes a holonomic constraint by linking the load's position directly to the beam's coordinates, restricting the load to a spherical surface of fixed radius (the cable length) centered at the suspension point on the beam.^[23] In a basic model, the beam moves along the x-axis, while the suspension point may shift along the y-axis on the beam, enforcing spatial restrictions that prevent independent motion of the load beyond pendulum-like swings.^[24] Mathematically, for a simplified two-dimensional representation assuming vertical cable alignment (no swing), the holonomic constraint takes the form x_\text{load} = x_\text{beam}, z_\text{load} = l, where l is the constant cable length, making the system scleronomic as the constraint does not depend explicitly on time.^[25] In three-dimensional coordinates, the setup involves the x-axis along the rail tracks for beam translation, the y-axis along the beam for potential trolley motion, and the z-axis vertical for the load's suspension, with the load's position described relative to the beam as (x_\text{load}, y_\text{load}, z_\text{load}) = (x_\text{beam} + l \sin \theta_x \cos \theta_y, y_\text{trolley} + l \sin \theta_y, -l \cos \theta_x \cos \theta_y), where \theta_x and \theta_y are swing angles in the respective planes; however, the core constraint remains the fixed distance l.^[23] These constraints reduce the system's degrees of freedom from 6 (for two unconstrained point masses in 3D) to 4: the beam's position along x, the trolley's position along y, and the two load swing angles.^[23] This reduction highlights the holonomic nature, as the configuration manifold is a 4-dimensional submanifold embedded in the 6-dimensional unconstrained space, enabling Lagrangian formulation with generalized coordinates. In differential form, the positional tie can be expressed briefly as d(x_\text{load} - x_\text{beam}) = 0.^[25]

Pendulum

The simple pendulum exemplifies a holonomic constraint through the restriction imposed by an inextensible string of fixed length l connecting a point mass m to a fixed pivot point, confining the mass's motion to a circular path in a vertical plane under gravity. This setup maintains a constant radial distance from the pivot, preventing linear translation while allowing rotational oscillation around the pivot.^[26] The constraint equation in Cartesian coordinates, where (x, y) denote the mass's position relative to the pivot with the pivot at the origin and downward as positive y, is \sqrt{x^2 + y^2} = l.^[26] This relation is holonomic, as it integrates to an explicit function of coordinates alone without dependence on velocities or time, classifying it as scleronomic.^[27] In polar coordinates, the angle \theta measured from the downward vertical serves as the single generalized coordinate, effectively reducing the two-dimensional unconstrained motion to one degree of freedom by incorporating the constraint.^[28] The resulting Lagrangian, expressing kinetic minus potential energy, is

L = \frac{1}{2} m l^2 \dot{\theta}^2 - m g l (1 - \cos \theta),

where g is gravitational acceleration and the potential is zero at \theta = 0.^[29] This formulation simplifies deriving the equations of motion via the Euler-Lagrange equation, yielding \ddot{\theta} + \frac{g}{l} \sin \theta = 0, which captures the nonlinear oscillatory dynamics.^[29] The constraint's implications extend to system analysis: it eliminates one coordinate, enabling efficient computation of trajectories and energies without explicit constraint forces in the reduced description.^[26] For the double pendulum variation, two masses linked by rigid rods of lengths l_1 and l_2 impose two such holonomic constraints, preserving rotational freedom but introducing coupling between the angles \theta_1 and \theta_2 in the Lagrangian and equations of motion, leading to chaotic behavior for certain initial conditions despite remaining holonomic.^[28]

Rigid body

A rigid body is defined as a collection of particles where the distances between every pair of points remain constant, preventing any deformation and imposing holonomic constraints that restrict the system's configuration space.^[30] These constraints arise from the requirement that the body maintains its shape under motion, which is a fundamental assumption in solid mechanics and classical dynamics.^[31] Mathematically, for a rigid body composed of n particles with position vectors \vec{r}_i, the constraints take the form |\vec{r}_i - \vec{r}_j| = c_{ij} (constant) for all i < j, reducing the $3n coordinates to a lower-dimensional manifold.^[30] For the simplest non-trivial case of three non-collinear points forming a rigid triangle, three such distance constraints suffice: |\vec{r}_1 - \vec{r}_2| = c_{12}, |\vec{r}_1 - \vec{r}_3| = c_{13}, and |\vec{r}_2 - \vec{r}_3| = c_{23}, all constants.^[31] Orientation of the body can alternatively be parameterized using three Euler angles (\phi, \theta, \psi), which holonomically describe the rotation relative to a fixed frame.^[30] In three-dimensional space, these holonomic constraints, which are scleronomic (time-independent), result in six degrees of freedom: three for translational motion of the center of mass and three for rotational motion.^[31] In dynamics, infinitesimal rotations are enforced through the angular velocity vector \vec{\omega}, where the rate of change of the orientation matrix A satisfies \dot{A} = \Omega A with \Omega antisymmetric and related to \vec{\omega} via the Levi-Civita symbol, ensuring the constraints hold during evolution.^[30] This setup allows transformation to independent generalized coordinates, such as the center-of-mass position and Euler angles, for analyzing the motion.^[31]

Mathematical Formulation

Pfaffian form

In classical mechanics, constraints on the motion of a system can often be expressed in the form of Pfaffian differentials, which are linear differential equations involving the differentials of the generalized coordinates and time. A general Pfaffian constraint takes the form \sum_{i=1}^n a_i \, dq_i + a_0 \, dt = 0, where the coefficients a_i and a_0 are functions of the generalized coordinates q_1, \dots, q_n and time t.^[32] This representation captures velocity constraints that may depend on positions and time, providing a differential framework for analyzing the admissible paths of the system.^[32] For holonomic constraints, which arise from a scleronomic or rheonomic relation f(q_1, \dots, q_n, t) = 0 that restricts the configuration space, the Pfaffian form corresponds to an exact differential. Differentiating the constraint equation yields df = \sum_{i=1}^n \frac{\partial f}{\partial q_i} \, dq_i + \frac{\partial f}{\partial t} \, dt = 0, where the partial derivatives serve as the coefficients a_i = \partial f / \partial q_i and a_0 = \partial f / \partial t.^[32] This form is integrable, meaning it is the total differential of the constraint function f, and thus defines a hypersurface in the configuration-time space.^[32] The integrability holds provided the curl of the associated vector field vanishes, ensuring the form is exact up to an integrating factor.^[32] For instance, in the case of a simple pendulum, the constraint x^2 + y^2 = l^2 leads to a Pfaffian form that is the exact differential of this relation.^[32] The Pfaffian representation of holonomic constraints plays a crucial role in the Lagrangian formulation of mechanics, particularly when the coordinates are not independent. By incorporating the constraints through Lagrange multipliers \lambda_D, the equations of motion become \frac{d}{dt} \left( \frac{\partial L}{\partial \dot{q}_k} \right) - \frac{\partial L}{\partial q_k} = \sum_D \lambda_D \frac{\partial f_D}{\partial q_k} for each generalized coordinate q_k, where L is the Lagrangian and the f_D are the holonomic constraints.^[32] This approach enforces the constraints without explicitly solving for dependent coordinates, allowing the dynamics to be derived directly from the Pfaffian forms while maintaining the variational principle.^[32] Such multiplier methods extend naturally to systems with multiple constraints, facilitating the analysis of complex mechanical systems.^[32]

Integrability conditions

A Pfaffian form \omega = \sum_i a_i \, dq_i = 0 defines a holonomic constraint if and only if it is integrable, meaning the distribution \Delta = \ker \omega (the set of vector fields X such that \omega(X) = 0) admits an integral submanifold foliating the configuration space.^[33] The necessary and sufficient condition for integrability is provided by the Frobenius theorem, which states that \Delta is integrable if and only if it is involutive. Involutivity requires that for any vector fields X, Y \in \Delta, their Lie bracket [X, Y] lies in the span of \Delta. Equivalently, in terms of differential forms, the condition is d\omega \wedge \omega = 0, ensuring the constraint can be expressed locally as the level set of a function f(q) = c.^[34]^[33] For time-independent constraints without explicit dependence on velocities or time, integrability can be tested via partial derivatives. In the case of two configuration variables q_1, q_2, the form \omega = a_1 \, dq_1 + a_2 \, dq_2 = 0 is integrable if \frac{\partial a_1}{\partial q_2} - \frac{\partial a_2}{\partial q_1} = 0, implying the form is exact up to an integrating factor and thus defines a holonomic relation f(q_1, q_2) = 0. This condition generalizes from the exactness criterion for one-forms in \mathbb{R}^2.^[35]

Testing Holonomic Constraints

Universal test

The universal test provides a systematic procedure to determine whether a given scleronomic or rheonomic constraint is holonomic by assessing the integrability of its associated Pfaffian form through exterior differentiation. This method, grounded in the Frobenius theorem, applies to constraints expressed in differential form and serves as a practical diagnostic tool in classical mechanics for verifying whether the constraint can be integrated to yield an explicit relation among the coordinates (and possibly time).^[33] To perform the test, begin by writing the constraint in Pfaffian form as \omega = \sum_i a_i(\mathbf{q}) \, dq_i = 0, where \mathbf{q} = (q_1, \dots, q_n) denotes the generalized coordinates and the coefficients a_i depend on \mathbf{q} (and potentially time for rheonomic cases). Next, compute the exterior derivative:

d\omega = \sum_{j<k} \left( \frac{\partial a_k}{\partial q_j} - \frac{\partial a_j}{\partial q_k} \right) dq_j \wedge dq_k.

This 2-form captures the "curl" of the coefficient vector field \mathbf{a} = (a_1, \dots, a_n).^[33] The constraint is holonomic if and only if d\omega vanishes modulo \omega, i.e., there exists a 1-form \lambda such that d\omega = \lambda \wedge \omega. Equivalently, the 3-form d\omega \wedge \omega = 0, ensuring the distribution defined by \omega = 0 is integrable and foliates the configuration space into hypersurfaces.^[33] In the general case for a single constraint, the condition d\omega \wedge \omega = 0 confirms holonomicity, as it implies local existence of an integrating factor rendering \omega exact, thus allowing reduction to a function f(\mathbf{q}, t) = 0. This aligns with the integrability conditions from differential geometry, providing a coordinate-independent criterion. For computational verification, outline a symbolic integration attempt as follows: express \omega in coordinates, compute the partial derivatives \partial a_k / \partial q_j symbolically (e.g., using computer algebra systems like SymPy or Mathematica), assemble d\omega, then wedge with \omega and check if the resulting expression is identically zero. If affirmative, attempt integration by solving \omega / \mu = df for an integrating factor \mu if needed; success yields the holonomic form f = c. This algorithmic pseudocode enhances clarity over purely theoretical statements.^[33]

Constraints of constant coefficients

A linear constraint in Pfaffian form with constant coefficients takes the form \sum_i a_i \, dq_i = 0, where the coefficients a_i are constants independent of the generalized coordinates q_i and time.^[36] Such constraints are always holonomic because the associated 1-form \omega = \sum_i a_i \, dq_i is exact; specifically, d\omega = 0 since the partial derivatives of the constant coefficients vanish, satisfying the integrability condition from the Frobenius theorem for codimension-1 distributions.^[36]^[18] This exactness allows direct integration of the constraint: \sum_i a_i \, dq_i = d\left(\sum_i a_i q_i\right) = 0 implies \sum_i a_i q_i = c, where c is a constant determined by initial conditions.^[2] The resulting holonomic relation is a linear equation in the coordinates, enabling straightforward reduction of the system's degrees of freedom by eliminating one variable in favor of the others.^[36] A representative example is the rolling without slipping of a wheel along a straight line, where the constraint is dq - r \, d\theta = 0 with constant radius r; this integrates to q - r \theta = c, relating the linear displacement q directly to the angular displacement \theta.^[2] In engineering applications, such as gantry cranes or simple robotic arms with fixed joint relations, these constraints simplify the formulation of equations of motion without requiring the full universal test for integrability, as the constant coefficients guarantee holonomicity.^[36] This direct integrability facilitates efficient coordinate transformations and Lagrange multiplier implementations for constrained dynamics.^[18]

Configuration spaces of one or two variables

In systems with a configuration space of a single variable, any constraint is inherently holonomic, as there is no need for integration of a differential form; the constraint simply takes the form f(q, t) = 0, directly relating the single coordinate q to time t and defining the allowable configurations without further reduction.^[37] For instance, a bead constrained to slide along a helical wire can be described using a single generalized coordinate such as the height z, where the constraint embeds the helical path into this one-dimensional space.^[37] For configuration spaces of two variables, a Pfaffian constraint expressed as a_1(q_1, q_2, t) \, dq_1 + a_2(q_1, q_2, t) \, dq_2 = 0 is holonomic if the form is exact, meaning the integrability condition \frac{\partial a_1}{\partial q_2} = \frac{\partial a_2}{\partial q_1} holds (assuming no explicit time dependence in the coefficients for simplicity).^[3] This condition ensures the existence of a function f(q_1, q_2, t) = c such that the differential is df = 0. If integrable, the constraint can be solved explicitly by treating it as \frac{dq_2}{dq_1} = -\frac{a_1}{a_2} (assuming a_2 \neq 0), yielding q_2 = \int -\frac{a_1}{a_2} \, dq_1 + h(t), where h(t) accounts for any time dependence.^[3] An example is a particle constrained to move on a circle defined by x^2 + y^2 = r^2, where the Pfaffian form is x \, dx + y \, dy = 0 (up to scaling by $1/r); here, a_1 = x, a_2 = y, and \frac{\partial a_1}{\partial y} = 0 = \frac{\partial a_2}{\partial x}, confirming integrability.^[38] Integrating gives the polar angle \theta as the single generalized coordinate, with x = r \cos \theta, y = r \sin \theta, reducing the two-dimensional space to one degree of freedom.^[38]

Applications and Reduction

Transformation to independent generalized coordinates

When holonomic constraints are present in a mechanical system, the configuration space can be reduced by selecting a minimal set of independent generalized coordinates that automatically satisfy the constraints. For a system with n total coordinates and m holonomic constraints, the procedure involves solving the m constraint equations for m dependent coordinates in terms of the remaining n - m independent generalized coordinates and any constants of the system. These expressions are then substituted into the Lagrangian L = T - V, where T is the kinetic energy and V is the potential energy, to obtain a Lagrangian in terms of only the independent coordinates.^[39]^[26] This transformation requires that the mapping from the original coordinates to the new ones be well-defined and invertible locally, which is ensured by the Jacobian matrix of the coordinate change having a non-singular determinant. The Jacobian elements \frac{\partial x_i}{\partial q_j} (where x_i are original coordinates and q_j are generalized coordinates) appear in the expression for the kinetic energy after substitution, yielding a quadratic form T = \frac{1}{2} \sum_{k,l} M_{kl}(q) \dot{q}_k \dot{q}_l, where M_{kl} = \sum_i m_i \frac{\partial x_i}{\partial q_k} \frac{\partial x_i}{\partial q_l} for particles of mass m_i.^[40]^[39] A classic example is the simple pendulum, where the bob's position is constrained to move on a circle of radius l. In Cartesian coordinates (x, y), the holonomic constraint is x^2 + y^2 = l^2. Solving for the dependent coordinates gives x = l \sin \theta and y = -l \cos \theta, reducing the system to a single independent generalized coordinate \theta, the angle from the vertical. Substituting into the Lagrangian produces L = \frac{1}{2} m l^2 \dot{\theta}^2 + m g l \cos \theta, from which the equation of motion follows directly via the Euler-Lagrange equation.^[26] The primary advantages of this reduction are the avoidance of Lagrange multipliers, which would otherwise be needed to enforce the constraints and introduce additional variables, and the direct derivation of equations of motion in the reduced configuration space of dimension n - m. This simplifies both analytical and numerical treatment of the dynamics. Similarly, for a rigid body, Euler angles can be chosen as three independent generalized coordinates to describe its orientation while satisfying the rigidity constraints.^[26]^[39]

Classification of physical systems

Physical systems in classical mechanics are classified according to the type of constraints they obey, primarily into holonomic, non-holonomic, and semi-holonomic categories. This classification determines the dimensionality of the configuration space and the methods available for reducing the system's degrees of freedom. Holonomic systems feature constraints that can be expressed solely as functions of the generalized coordinates (positions) and possibly time, allowing full reduction to an independent set of coordinates without loss of information.^[2]^[41] In holonomic systems, all constraints are integrable, meaning they define a submanifold of the configuration space in differential geometry terms, where the system's motion is confined to lower-dimensional manifolds. Representative examples include a particle moving in a potential field, such as on a fixed surface, or closed kinematic chains like a double pendulum, where joint connections impose position-based restrictions.^[42]^[43] These systems permit straightforward transformation to independent generalized coordinates, simplifying analysis via Lagrangian mechanics.^[44] Non-holonomic systems, by contrast, involve constraints on velocities that cannot be integrated into position-dependent forms, preventing complete reduction of the configuration space and often requiring quasi-coordinates for formulation. A classic example is the motion of a skate on ice, where the velocity must remain perpendicular to the skate's direction, imposing a differential constraint that restricts accessible paths without limiting positions outright.^[2]^[17] In differential geometry, such constraints define non-integrable distributions on the tangent bundle, leading to broader accessible configuration spaces than the constraint dimension might suggest.^[44] Semi-holonomic systems represent an intermediate case, featuring velocity-dependent constraints that are integrable—meaning they can be reduced to holonomic form after integration—but initially appear non-integrable due to their differential structure. These arise from constraints like a_j(q, t) \dot{q}^j + a_t(q, t) = 0, where integrability fails only superficially, often implying conservation laws via foliations of the configuration space.^[43]^[45] In applications, this classification impacts fields like robotics and control theory. Holonomic systems, such as serial manipulators, enable full state-space reduction for precise trajectory planning, whereas non-holonomic mobile robots, like wheeled vehicles, demand specialized controllers to navigate velocity constraints.^[46]^[47] In control theory, holonomic constraints facilitate dimensionality reduction in state spaces, enhancing stability analysis and feedback design. Modern extensions include AI-driven path planning, where algorithms like enhanced A* incorporate non-holonomic constraints for efficient robot navigation in dynamic environments, addressing limitations in traditional holonomic assumptions.^[48]

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[PDF] 8.09(F14) Advanced Classical Mechanics - MIT OpenCourseWare
running over the constraints. These holonomic or semi-holonomic constraints take the form gα(q, q˙,t) = ajα(q, t)q˙j + atα(q, t) = 0. (1.85) where again ...
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[PDF] Intermediate Classical Mechanics Charles B. Thorn1 - UF Physics
This e.o.m. is a special case of a linear differential equation with constant coefficients. ... holonomic constraints are beyond the scope of this course. ( ...
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[PDF] Chapter 2 Lagrange Mechanics
Let us look at a holonomic system with generalized coordinates q1,...,qs for which a Lagrange function L exists (we do not demand the system to be ...
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[PDF] Physics 5153 Classical Mechanics Generalized Coordinates and ...
holonomic. Holonomic constraints can be either time independent (scleronomic) or time dependent. (rheonomic). A few examples of Holonomic constraints are.
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[PDF] CHAPTER 6 LAGRANGE'S EQUATIONS (Analytical Mechanics)
Holonomic constraints are of the form equality constraints involving only generalized coordinates and time. Nonholonomic constraints are of the form they ...<|control11|><|separator|>
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[PDF] 1 Lecture Notes Week 1
Examples of holonomic constraints include: a particle on the plane x = 5 or a particle on the ellipse x2/A2 + y2/B2 = C2. An example of a non-holonomic ...
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[PDF] Chapter 1 A Review of Analytical Mechanics - MIT OpenCourseWare
The method for many problems with constraints is to simply make a good choice for the generalized coordinates to use for the Lagrangian, picking N − k ...
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[PDF] The geometry of nonholonomic mechanical systems
Holonomic. A holonomic constraint is derived from a constraint in configuration space. - Example: particle constrained to move on a sphere ...
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Breakdown of the connection between symmetries and conservation ...
Nov 3, 2021 · Integrable velocity-dependent constraints are said to be semiholonomic. For good reasons, holonomic and semiholonomic constraints are thought ...
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[PDF] Motion Planning for Nonholonomic Vehicles: An Introduction
Figure 5: Holonomic constraints mesh together into integral submanifolds that the system can not leave. different 's if we followed the f's in a differ- ent ...
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[PDF] Control of Mechanical Systems with Rolling Constraints
Rolling contacts between two rigid bodies engender nonholonomic constraints in an otherwise holonomic system. The control of constrained mechanical systems in ...
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Enhanced $A^{*}$ Algorithm for Mobile Robot Path Planning with ...
Mar 2, 2025 · Abstract:In this paper, a novel method for path planning of mobile robots is proposed, taking into account the non-holonomic turn radius ...