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Eigenstructure Control Algorithms

Eigenstructure control involves modification of both the eigenvalues and eigenvectors of a system using feedback. Based on this key concept;

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Eigenstructure Assignment for Control System Design

Helicopters, aircraft and missiles are just some of the practical multivariable control systems to which eigenstructure assignment has been;

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Intelligent Algorithms for Analysis and Control of Dynamical Systems

control of dynamical systems. Both single-input-single-output (SISO) and multi-input-multi-output (MIMO) systems are explored for analysis and;

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Robust Control System Design

Robust Control System Design: Advanced State Space Techniques, Second Edition expands upon a groundbreaking and combinatorial approach to;

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Robust Control System Design

Robust Control System Design: Advanced State Space Techniques, Second Edition expands upon a groundbreaking and combinatorial approach to;

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Advanced and Optimization Based Sliding Mode Control

A compendium of the authors' recently published results, this book discusses sliding mode control of uncertain nonlinear systems, with a;

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Positive 1d and 2D Systems

The presence of uncertainty in a system description has always been a critical issue in control. Moving on from earlier stochastic and;

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Randomized Algorithms in Automatic Control and Data Mining

In the fields of data mining and control, the huge amount of unstructured data and the presence of uncertainty in system descriptions have;

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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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Model Predictive Control

This monograph introduces the authors' work on model predictive control system design using extended state space and extended non-minimal;

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Learning Algorithms

to learn from past experience, and therefore have significant potential in the adaptive control of signals and systems. This book focuses on;

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Second-Order Consensus of Continuous-Time Multi-Agent Systems

, communication networks, and control protocols/algorithms in continuous consensus of multi-agent systems. The book provides readers with background on;

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Data Mining Algorithms in C++

Discover hidden relationships among the variables in your data, and learn how to exploit these relat;...

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Predictive Control

This book is a comprehensive introduction to model predictive control (MPC), including its basic principles and algorithms, system analysis;

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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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Distributed Control of Robotic Networks

This self-contained introduction to the distributed control of robotic networks offers a distinctive blend of computer science and control;

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Decentralized Estimation and Control for Multisensor Systems

Decentralized Estimation and Control for Multisensor Systems explores the problem of developing scalable, decentralized estimation and;

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Nonlinear Systems Tracking

Tracking is the goal of control of any object, plant, process, or vehicle. From vehicles and missiles to power plants, tracking;

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Nonlinear Systems Tracking

Tracking is the goal of control of any object, plant, process, or vehicle. From vehicles and missiles to power plants, tracking;

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Frequency-Domain Analysis and Design of Distributed Control Systems

This book presents a unified frequency-domain method for the analysis of distributed control systems. The following important topics are;

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Efficient Numerical Algorithms for the Optimal Control Problems

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Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability

Intelligent Coordinated Control of Complex Uncertain Systems for Power Distribution and Network Reliability discusses the important topics;

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Methods, Algorithms and Circuits for Photovoltaic Systems Diagnosis and Control

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Intelligent Control

in conjunction with the Lyapunov theory/H theory to develop such hybrid control strategies. The goal of developing a series of such hybridization;

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Elements of Distributed Algorithms

Distributed Computing is rapidly becoming the principal computing paradigm in diverse areas of computing, communication, and control;

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Iterative Algorithms For Multilayer Optimizing Control

The book presents basic structures, concepts and algorithms in the area of multilayer optimizing control of industrial systems, as well as;

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