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Predictive Control for Linear and Hybrid Systems

feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid;

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Predictive Control for Linear and Hybrid Systems

feature in an accompanying free online MATLAB toolbox, which allows easy access to sample solutions. Predictive Control for Linear and Hybrid;

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Advanced Process Identification and Control

analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized;

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Advanced Process Identification and Control

analysis of industrial systems. The authors cover applications for the identification of linear and non-linear systems, the design of generalized;

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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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Multiparametric Optimization and Control

programming and model-predictive control-from the linear quadratic regulator over hybrid systems to periodic systems and robust control. The;

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Control Systems

applications for those studying basic control in mechanical, electrical, aerospace, and other engineering disciplines. The text builds a strong;

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Model Predictive Control

Predictive Control (MPC) is an optimal control approach which can effectively deal with constraints and multivariable processes in industries;

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Modelling Optimization and Control of Biomedical Systems

Shows the newest developments in the field of multi-parametric model predictive control and optimization and their application for drug;

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Fuel Cells

This book describes advanced research results on Modeling and Control designs for Fuel Cells and their hybrid energy systems. Filled with;

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Fuel Cells

This book describes advanced research results on Modeling and Control designs for Fuel Cells and their hybrid energy systems. Filled with;

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Robust Control Systems with Genetic Algorithms

developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure;

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Robust Control Systems with Genetic Algorithms

developing optimal robust controllers for linear control systems, optimal disturbance rejection controllers, and predictive and variable structure;

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Distributed Cooperative Control and Communication for Multi agent Systems

This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple;

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Distributed Cooperative Control and Communication for Multi agent Systems

This book investigates distributed cooperative control and communication of MASs including linear systems, nonlinear systems and multiple;

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Robust Model Predictive Control

Model predictive control (MPC) is regarded as the prime advanced control method for a wide class of industrial processes and perhaps one;

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Hybrid Systems with Constraints

Control theory is the main subject of this title, in particular analysis and control design for hybrid dynamic systems. The notion;

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Hybrid Feedback Control

to hybrid control systems and develops new tools for their analysis and design. Hybrid behavior can occur in one or more subsystems of a;

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Predictive Filtering for Microsatellite Control System

filtering for spacecraft control systems, along with the adequate designs of integrated modeling, dynamics, state estimation, and signal processing;

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Control Oriented Modelling & Identificat

to develop advanced mathematical models suitable for control system design, including: object-oriented modelling and simulation; projection;

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Metaheuristic Optimization for the Design of Automatic Control Laws

for Automatic Control; and constrained control.;

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Control of Nonlinear and Hybrid Process Systems

This monograph provides insight and fundamental understanding into the feedback control of nonlinear and hybrid process systems. It;

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Hybrid Energy Systems

classical control strategies and intelligent control strategies for renewable energy power systems with hybrid energy storage systems are;

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Tracking Control of Linear Systems

readers with novel, sophisticated approaches and methods for tracking control design in real conditions. Contributing to the advancement of linear;

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Tracking Control of Linear Systems

readers with novel, sophisticated approaches and methods for tracking control design in real conditions. Contributing to the advancement of linear;

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Advances In Dynamics, Instrumentation And Control, Volume Ii - Proceedings Of The 2006 International Conference (Cdic '06)

-of-the-art contributions in the fields of dynamics and control of nonlinear, hybrid and stochastic systems; nonlinear control theory; and;

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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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