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Operator-Based Nonlinear Control Systems Design And Applicat

stability result, a critical factor in any nonlinear control system's stability and performance. Operator-Based Nonlinear Control Systems: Design;

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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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Model-Based Tracking Control of Nonlinear Systems

presents existing model-based tracking control algorithms and path-following strategies for nonlinear systems. The final chapter develops a new;

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Model-Based Tracking Control of Nonlinear Systems

presents existing model-based tracking control algorithms and path-following strategies for nonlinear systems. The final chapter develops a new;

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Model-based Nonlinear Control of Aeroengines

This book aims to develop systematic design methodologies to model-based nonlinear control of aeroengines, focusing on (1) modelling;

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Nonlinear and Adaptive Control Systems

techniques to analyse nonlinear systems. Therefore it is natural to treat adaptive control as a part of nonlinear control systems. Nonlinear and;

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Nonlinear Control Systems

observed over the past few years. Consequently, methods for its analysis and design have improved rapidly. This book illustrates nonlinear designs;

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True Digital Control

encompasses data based model identification, through to control algorithm design, robustness evaluation and implementation. With a heritage from both;

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Computer-aided Nonlinear Control System Design

design for highly nonlinear systems. Computer-aided Nonlinear Control System Design provides such an approach based on the use of describing;

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Fault Detection and Fault Tolerant Control for Nonlinear Systems

Linlin Li addresses the analysis and design issues of observer-based FD and FTC for nonlinear systems. The author analyses the existence;

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The Koopman Operator in Systems and Control

This book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It;

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The Koopman Operator in Systems and Control

This book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It;

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Lyapunov-Based Control of Robotic Systems

Lyapunov-Based Control of Robotic Systems describes nonlinear control design solutions for problems that arise from robots required to;

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Lyapunov-Based Control of Robotic Systems

Lyapunov-Based Control of Robotic Systems describes nonlinear control design solutions for problems that arise from robots required to;

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Dynamic Surface Control of Uncertain Nonlinear Systems

in response are more sparse. Given the range and complexity of nonlinear systems, effective new methods of control design are therefore of significant;

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Linear, Time-varying Approximations to Nonlinear Dynamical Systems

, control design and extensions to distributed parameter systems. Many of the classical and modern control design methods which can be applied;

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Robust Adaptive Control for Fractional-Order Systems with Disturbance and Saturation

nonlinear chaotic systems and some applications; sliding mode control for fractional-order nonlinear systems based on disturbance observer;

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Nonlinear Control of Engineering Systems

This practical yet rigorous book provides a development of nonlinear, Lyapunov-based tools and their use in the solution of control;

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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 and Filtering Using Differential Flatness Approaches

design of nonlinear adaptive controllers and nonlinear filters, using exact linearization based on differential flatness theory. The adaptive;

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Analysis And Control Of Nonlinear Systems With Stationary Sets

been based on the frequency-domain for this class of systems. However, few results on robustness analysis and controller design for these;

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Nonlinear Dynamical Systems with Self-Excited and Hidden Attractors

manipulators, electronic circuits, and control models. Special attention is given to modeling, design, circuit realization, and practical applications;

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Advances in Systems, Control and Automation

nonlinear systems, intelligent systems, stochastic control, knowledge-based systems applications, fault diagnosis and tolerant control, real-time;

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Modeling and Control of Uncertain Nonlinear Systems with Fuzzy Equations and Z-Number

An original, systematic-solution approach to uncertain nonlinear systems control and modeling using fuzzy equations and fuzzy differential;

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Fuzzy Control and Filter Design for Uncertain Fuzzy Systems

for an uncertain nonlinear system is to linearize the system about an operating point, and uses linear control theory to design a controller;

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Neural Network Control of Nonlinear Discrete-Time Systems

Control of Nonlinear Discrete-Time Systems presents powerful modern control techniques based on the parallelism and adaptive capabilities;

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