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Robust Control Systems with Genetic Algorithms

optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust;

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Robust Control Systems with Genetic Algorithms

optimization of symbolic codes. Robust Control Systems with Genetic Algorithms builds a bridge between genetic algorithms and the design of robust;

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Positive 1d and 2D Systems

theorists concerned with robust and optimal control techniques and to all control engineers dealing with system uncertainties.;

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Obstacle Avoidance In Multi-robot Systems, Experiments In Parallel Genetic Algorithms

of the attractive features of genetic algorithms is their ability to solve formidable problems in a robust and straightforward manner. Moreover;

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Industrial Intelligent Control

With a strong emphasis on applications of intelligent control, this extremely accessible book covers the fundamentals, methodologies;

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Systems and Control

This textbok deals with modelling, analysis, and control of dynamical systems. Its objective is to familiarize students with the basics;

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Adaptive Critic Control with Robust Stabilization for Uncertain Nonlinear System

This book reports on the latest advances in adaptive critic control with robust stabilization for uncertain nonlinear systems. Covering the;

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Linear Systems

Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear;

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Control Systems

mathematical foundation of control theory of linear, nonlinear, optimal, model predictive, robust, digital, and adaptive control systems, and it;

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Hybrid Dynamical Systems

systems. Filled with a wealth of examples to illustrate concepts, this book presents a complete theory of robust asymptotic stability for hybrid;

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Algorithms for Regression and Classification

The focus of this dissertation is on robust regression and classification in genetic association studies. In the context of robust;

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Fuzzy Control Systems

theory of fuzzy control systems. The second part deals with a variety of methodologies and algorithms used in the analysis and design of fuzzy;

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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms

in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic;

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Design and Analysis of Control Systems

addresses advanced topics, such as digital control systems, adaptive and robust control, and nonlinear control systems.;

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Robust Control Design: An Optimal Control Approach

mathematical field that is concerned with control policies that can be deduced using optimization algorithms. The optimal control approach to robust;

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Signal Processing in Radar Systems

of robust signal processing in noise, with a focus on the generalized approach to signal processing in noise under coherent filtering. In addition;

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Signal Processing in Radar Systems

of robust signal processing in noise, with a focus on the generalized approach to signal processing in noise under coherent filtering. In addition;

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Practical Handbook of Genetic Algorithms

be taken with GAs. This volume differs from its predecessors by specifically concentrating on specific functions in genetic algorithms;

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Adaptive Robust Control with Limited Knowledge on Systems Dynamics

), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control;

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Adaptive Robust Control with Limited Knowledge on Systems Dynamics

), and provides novel solutions to current design issues in TDC. Its central focus is on designing adaptive-switching gain-based robust control;

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Modern Optimization Techniques with Applications in Electric Power Systems

This book presents the application of some AI related optimization techniques in the operation and control of electric power systems. With;

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Decentralized Control of Complex Systems

constraints.Starting with a graph-theoretic framework for structural modeling of complex systems, the text presents results related to robust;

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Robust Control for Nonlinear Time-Delay Systems

This book reports on the latest findings concerning nonlinear control theory and applications. It presents novel work on several kinds;

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Output Feedback Control for Slosh-Free Motion

feedback control using sliding modes. A sliding mode control (SMC) is one of the robust control approaches which yields robust performance against;

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Adaptive Control

revised to throw light on recent developments in theory and applications with new chapters on: multimodel adaptive control with switching, direct;

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Advanced Control Design with Application to Electromechanical Systems

Advanced Control Design with Application to Electromechanical Systems represents the continuing effort in the pursuit of analytic;

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Robust Adaptive Controls

estimation, parameter identifiers, model reference adaptive control, adaptive pole placement control, and robust adaptive laws.Engineers and;

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