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Lyapunov Matrix Equation in System Stability and Control

Lyapunov matrix equations of continuous-time and discrete-time systems. The matrix equations are considered in terms of three main categories;

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Nonlinear Dynamical Systems and Control

Nonlinear Dynamical Systems and Control presents and develops an extensive treatment of stability analysis and control design of nonlinear;

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Optimal Control

systems. Self-contained appendixes cover matrix theory, linear systems, the Pontryagin minimum principle, Lyapunov stability, and the Riccati;

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Two-Dimensional Systems

the unidirectional Lyapunov function. The control synthesis and the saturation and delay conditions are presented as linear matrix;

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Two-Dimensional Systems

the unidirectional Lyapunov function. The control synthesis and the saturation and delay conditions are presented as linear matrix;

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(In-)Stability of Differential Inclusions

Lyapunov methods have been and are still one of the main tools to analyze the stability properties of dynamical systems. In this monograph;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary;

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Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary;

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Analysis and Design of Singular Markovian Jump Systems

rate matrix of the underlying systems is generally uncertain, partially unknown and designed. The problems addressed include stability;

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Perturbation Methods in Matrix Analysis and Control

-local perturbation bounds for a set of important objects in Linear Algebra and Control Theory. Among them are the Schur system of a matrix, the;

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Stability Of Stationary Sets In Control Systems With Discontinuous Nonlinearities

stability investigations of relay control systems, gyroscopic systems, mechanical systems with a Coulomb friction, nonlinear electrical circuits;

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Weakly Connected Nonlinear Systems

boundedness and stability of systems in Banach spaces with weakly connected subsystems through the generalization of the direct Lyapunov method, using;

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Weakly Connected Nonlinear Systems

boundedness and stability of systems in Banach spaces with weakly connected subsystems through the generalization of the direct Lyapunov method, using;

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Linear Continuous-Time Systems

relationship between the system full transfer function matrix F(s) and the Lyapunov stability concept, definitions and conditions, as well as with the;

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Linear Discrete-Time Systems

function matrix F(z) and the Lyapunov stability concept, definitions, and conditions, as well as with the BI stability concept, definitions, and;

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Linear Discrete-Time Systems

function matrix F(z) and the Lyapunov stability concept, definitions, and conditions, as well as with the BI stability concept, definitions, and;

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Nonlinear Systems Stability Analysis

. The text covers mostly new topics such as stability of homogonous nonlinear systems and higher order Lyapunov functions derivatives for;

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Nonlinear Systems Stability Analysis

. The text covers mostly new topics such as stability of homogonous nonlinear systems and higher order Lyapunov functions derivatives for;

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Power System Control and Stability

The third edition of the landmark book on power system stability and control, revised and updated with new material The revised third;

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Advances in Chemical Physics

optimal control theory; Density Matrix Equation for a Bathed Small System and its Application to Molecular Magnets; and a Fractional Langevin;

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Control Systems Theory and Applications for Linear Repetitive Processes

in terms of so-called 1D and 2D Lyapunov equations. It presents the development of a major bank of results on the structure and design of control;

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Optimal and Robust Control

-loop balancing Positive-real systems, bounded-real systems, and imaginary-negative systems Criteria for stability control;

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PID Control with Intelligent Compensation for Exoskeleton Robots

-edge methods for designing neural and fuzzy compensators with high-gain velocity observers for PD control using Lyapunov stability;

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Stability Domains

, and a new Lyapunov methodology for nonlinear systems. It also introduces classical Lyapunov and practical stability theory for time-invariant;

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Intelligent Control

in conjunction with the Lyapunov theory/H theory to develop such hybrid control strategies. The goal of developing a series of such hybridization;

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Tracking Control of Linear Systems

matrix F(s), which substantially changes the theory of linear dynamical and control systems and enables a novel synthesis of tracking control;

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Tracking Control of Linear Systems

matrix F(s), which substantially changes the theory of linear dynamical and control systems and enables a novel synthesis of tracking control;

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