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Model Based Predictive Networked Control Systems

introduces Model Based Predictive Networked Control Systems, which is a method that can work with communication networks imposing unbounded end to;

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Control Theory of Digitally Networked Dynamic Systems

The book gives an introduction to networked control systems and describes new modeling paradigms, analysis methods for event-driven;

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Networked Predictive Control of Systems with Communication Constraints and Cyber Attacks

several networked predictive control (NPC) methods based on input-output models and state-space models respectively. For the latter, it designs;

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Distributed Cooperative Model Predictive Control of Networked Systems

This book is inspired by the development of distributed model predictive control of networked systems to save computation and communication;

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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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Secure Control of Networked Control Systems and Its Applications

method and event-based control method. (3) Active control methods are proposed by using model-predictive control and redundant control. (4) The;

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A Quadratic Constraint Approach to Model Predictive Control of Interconnected Systems

This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It;

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A Quadratic Constraint Approach to Model Predictive Control of Interconnected Sy

This book focuses on the stabilization and model predictive control of interconnected systems with mixed connection configurations. It;

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Event-Based Control and Signal Processing

increasingly networked, wireless, and spatially distributed. Event-Based Control and Signal Processing examines the event-based paradigm in control;

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Event-Based Control and Signal Processing

increasingly networked, wireless, and spatially distributed. Event-Based Control and Signal Processing examines the event-based paradigm in control;

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Modelling Optimization and Control of Biomedical Systems

; sensitivity analysis & model reduction; multi-parametric programming and model predictive control; estimation techniques; physiologically-based;

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Model Predictive Control

-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights;

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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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Low Complexity Model Predictive Control in Power Electronics and Power Systems

Low Complexity Model Predictive Control in Power Electronics and Power Systems is een boek van Cuvillier Verlag;

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Model Predictive Control

techniques. Model Predictive Control describes the development of tractable algorithms for uncertain, stochastic, constrained systems. The;

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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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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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Model Predictive Control

and future challenges of model predictive control.;

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Modelling, Analysis, and Control of Networked Dynamical Systems

This monograph provides a comprehensive exploration of new tools for modelling, analysis, and control of networked dynamical systems;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Analysis and Synthesis of Fuzzy Control Systems

lack of tools for systematic stability analysis and controller design. To address this problem, many model-based fuzzy control approaches have;

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Control Oriented Modelling & Identificat

-based model reduction techniques; integrated modelling and parameter estimation; identification for robust control of complex systems; subspace;

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Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters

Model Predictive Control for Doubly-Fed Induction Generators and Three-Phase Power Converters describes the application of model;

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Predictive Control for Linear and Hybrid Systems

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented;

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Predictive Control for Linear and Hybrid Systems

Model Predictive Control (MPC), the dominant advanced control approach in industry over the past twenty-five years, is presented;

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Networked Control Systems

Networked Control Systems: Cloud Control and Secure Control explores new technological developments in networked control systems (NCS;

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