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Nonlinear Controllability and Optimal Control

problems.Written and edited by renowned mathematicians at the forefront of research in thisevolving field, Nonlinear Controllability and Optimal Control;

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Shape Optimization And Optimal Design

. It emphasizes shape analysis, optimal shape design, controllability, nonlinear boundary control, and stabilization. The authors include;

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Shape Optimization And Optimal Design

. It emphasizes shape analysis, optimal shape design, controllability, nonlinear boundary control, and stabilization. The authors include;

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Nonlinear and Optimal Control Systems

techniques used in the design of nonlinear and optimal feedback control systems. There is special emphasis on the fundamental topics of stability;

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Numerical Control: Part a: Volume 23

-dimensional control systems, Moments and convex optimization for analysis and control of nonlinear PDEs, The turnpike property in optimal control;

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Mathematical Control Theory

nonlinear control, nonlinear controllability via Lie-algebraic methods, and controllability of recurrent nets and of linear systems with bounded;

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Optimal Trajectory Tracking of Nonlinear Dynamical Systems

, optimal control and trajectory tracking are clarified. Furthermore, the existence of linear structures underlying nonlinear optimal control;

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Introduction to Geometric Control

their own. Selected sections provide exercises to assist in deeper understanding of the material. Controllability and optimal control;

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Optimal Boundary Control and Boundary Stabilization of Hyperbolic Systems

which the author explores initial boundary value problems, concepts of exact controllability, optimal exact control, and boundary stabilization;

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Nonlinear Dynamical Control Systems

This volume deals with controllability and observability properties of nonlinear systems, as well as various ways to obtain input-output;

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Recent Trends in Applied Mathematics

PDEs, mathematical modeling and analysis of biological systems, optimal control and controllability of differential equations, fractional;

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Time Optimal Control of Evolution Equations

controllability and observability estimates, the authors present their time-optimal control framework, which consists of four elements: a controlled;

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Numerical and Algebraic Studies for the Control of Quantum Systems

In this thesis, two aspects of control theory, namely controllability and optimal control, are applied to quantum systems. The presented;

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Elements Of Control Theory

and optimal control for dynamical systems represented by ordinary differential equations in a finite dimensional Euclidean space. The problems;

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Control Theory of Infinite-Dimensional Systems

in January 2018 at the FernUniversitat in Hagen. Topics include well-posedness, controllability, optimal control problems as well as stability;

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Autonomous Underwater Vehicles

Underwater vehicles present some difficult and very particular control system design problems. These are often the result of nonlinear;

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Modern Control Engineering

recent methods in system identification and optimal, digital, adaptive, robust, and fuzzy control, as well as stability, controllability;

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Controllability and Stabilization of Parabolic Equations

This monograph presents controllability and stabilization methods in control theory that solve parabolic boundary value problems. Starting;

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Controllability and Stabilization of Parabolic Equations

This monograph presents controllability and stabilization methods in control theory that solve parabolic boundary value problems. Starting;

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Discrete-Time Inverse Optimal Control for Nonlinear Systems

Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and;

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Discrete-Time Inverse Optimal Control for Nonlinear Systems

Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and;

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Nonlinear Industrial Control Systems

, polynomial-based, linear parameter varying, state-dependent and hybrid; design techniques for nonlinear optimal control including generalised;

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Optimal Networked Control Systems with MATLAB

in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite;

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Optimal Networked Control Systems With MATLAB

in discrete time for linear and nonlinear systems. It lays the foundation for reinforcement learning-based optimal adaptive controller use for finite;

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Nonlinear Control Systems

like Feedback Linearization, Lyapunov Based Control, Adaptive Control, Optimal Control and Robust Control and discusses various applications;

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Linear Systems

Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear;

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Symplectic Pseudospectral Methods for Optimal Control

The book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications. Both the fundamental;

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