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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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Nonlinear Systems Tracking

systems, including subclasses of input-output and state-space nonlinear systems, the book: Describes the crucial tracking control;

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Nonlinear Systems Tracking

systems, including subclasses of input-output and state-space nonlinear systems, the book: Describes the crucial tracking control;

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Nonlinear Industrial Control Systems

Nonlinear Industrial Control Systems presents a range of mostly optimisation-based methods for severely nonlinear systems; it discusses;

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Operator-Based Nonlinear Control Systems Design And Applicat

uncertainties * Robust stability of operator-based nonlinear control systems * Tracking issues and fault detection issues in nonlinear control systems;

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

A treatise on investigating tracking control and synchronization control of fractional-order nonlinear systems with system uncertainties;

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Discrete-Time Inverse Optimal Control for Nonlinear Systems

book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control;

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Discrete-Time Inverse Optimal Control for Nonlinear Systems

book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control;

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Model-Based Control Of Networked Systems

This monograph introduces a class of networked control systems (NCS) called model-based networked control systems (MB-NCS) and presents;

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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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Adaptive Regulation

This monograph is focused on control law design methods for asymptotic tracking and disturbance rejection in the presence of uncertainties;

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Sliding Mode Control (SMC)

using the nonsingular terminal sliding-mode control method; adaptive nonsingular terminal sliding mode (NTSM) tracking control scheme based on;

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Consensus Tracking of Multi-agent Systems with Switching Topologies

engineering, signal processing, nonlinear systems, switched systems and applied mathematics. It will also be a core reference for control engineers;

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Active Disturbance Rejection Control of Dynamic Systems

Active Disturbance Rejection Control of Dynamic Systems: A Flatness Based Approach describes the linear control of uncertain nonlinear;

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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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Stabilization of Nonlinear Systems Using Receding-horizon Control Schemes

While conceptually elegant, the generic formulations of nonlinear model predictive control are not ready to use for the stabilization;

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Dynamics And Nonlinear Control Of Integrated Process Systems

energy integration. Step-by-step model reduction procedures are developed to derive nonlinear reduced models of the dynamics in each time scale;

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Neural Networks Modeling and Control

Neural Networks Modelling and Control: Applications for Unknown Nonlinear Delayed Systems in Discrete Time focuses on modeling and;

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Adaptive and Fault-Tolerant Control of Underactuated Nonlinear Systems

The purpose of the book is to provide an exposition of recently developed adaptive and fault-tolerant control of underactuated nonlinear;

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Virtual Equivalent System Approach for Stability Analysis of Model-based Control Systems

. In closing, the VES concept and methodology are used to assess the stability of multiple model adaptive control (MMAC) systems and T-S model-based;

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Explicit Nonlinear Model Predictive Control

Nonlinear Model Predictive Control (NMPC) has become the accepted methodology to solve complex control problems related to process;

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Virtual Equivalent System Approach for Stability Analysis of Model based Control

. In closing, the VES concept and methodology are used to assess the stability of multiple model adaptive control (MMAC) systems and T-S model-based;

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Adaptive Learning Methods for Nonlinear System Modeling

Adaptive Learning Methods for Nonlinear System Modeling presents some of the recent advances on adaptive algorithms and machine learning;

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AI based Robot Safe Learning and Control

, the control strategies include adaptive tracking control for robots with model uncertainties, compliance control in uncertain environments;

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Economic Model Predictive Control

This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear;

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Distributed Cooperative Control and Communication for Multi agent Systems

rigid body systems. The model-based and data-driven control method are employed to design the (optimal) cooperative control protocol. The;

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