Geometric Theory of Functional Differential Equations
Functional differential equations for determining n-dimemensional vector spaces - Liapunov function asymptotic theory of linear systems, and Floquet theory
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Functional differential equations for determining n-dimemensional vector spaces - Liapunov function asymptotic theory of linear systems, and Floquet theory
The abstract theory presented shows how the theory of dissipative systems of ordinary differential equations can be extended to include a wide class of functional and partial differential equations. Since the basic hypotheses are all in terms of boundedness, finding sufficient conditions in terms of Liapunov functions was not difficult. Work is being undertaken to solve some nontrivial examples to illustrate how the theory can applied.
A theory is presented that shows how the concept of dissipative systems of ordinary differential equations can be extended to include a broad class of functional and partial differential equations, such as retarded functional differential equations and parabolic partial differential equations. Since the basic hypotheses are all in terms of boundedness, finding sufficient conditions in terms of Liapunov functions would not be too difficult.
A new class of joint level control laws for all-revolute robot arms is introduced. The analysis is similar to a recently proposed energy-like Liapunov function approach, except that the closed-loop potential function is shaped in accordance with the underlying joint space topology. This approach gives way to a much simpler analysis and leads to a new class of control designs which guarantee both global asymptotic stability and local exponential stability. When Coulomb and viscous friction and parameter uncertainty are present as model perturbations, a sliding mode-like modification of the control law results in a robustness-enhancing outer loop. Adaptive control is formulated within the same framework. A linear-in-the-parameters formulation is adopted and globally asymptotically stable adaptive control laws are derived by simply replacing unknown model parameters by their estimates (i.e., certainty equivalence adaptation).
Stochastic Liapunov functions and invariant set concept
Nonlinear dynamical systems research on systems stability, invariance principles, Liapunov functions, and Volterra and functional integral equations
Analytical methods to determine capability of space vehicle guidance system, and Liapunov functions for stability of nonlinear systems
Semidefinite Liapunov function applied to relay control of linear system with parameter uncertainties
Differential equation describing nonlinear control systems, and literature survey on using Liapunov functions for problem solutions
Relation between optimal control problem and Liapunov functions, and calculus of variations and maximum principle methods of solving synthesis problems
Liapunov functions applied to motion stability of solid bodies with liquid filled shells
Generalized Liapunov functions for motion stability of linear and nonlinear systems with time lag
Finite regions of attraction of equilibrium for problem of Lure analyzed using Liapunov functions
Book on stochastic stability and control dealing with Liapunov function approach to study of Markov processes
Linear differential equations stability criteria using quadratic Liapunov functions
Continuous time algorithm for learning stable bang-bang regulator assuming known Liapunov function
Computation of output bound for linear discrete system with bounded input using method based on Liapunov function
Invariance method for extending Liapunov function to distributed parameter system