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Advanced and Optimization Based Sliding Mode Control

particular emphasis on advanced and optimization based algorithms. The authors survey classical sliding mode control theory and introduce four new;

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Optimization and Control with Applications

A collection of 28 refereed papers grouped according to four broad topics: duality and optimality conditions, optimization algorithms;

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Optimization and Control for Systems in the Big-Data Era

This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization;

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Large-Scale Optimization with Applications: Part II

With contributions by specialists in optimization and practitioners in the fields of aerospace engineering, chemical engineering, and fluid;

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Real Time Optimization by Extremum-seeking Control

potential. Filled with in-depth insight and expert advice, Real-Time Optimization by Extremum-Seeking Control: Develops optimization theory from;

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Distributed Control and Optimization Technologies in Smart Grid Systems

reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific;

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Adaptive Stochastic Optimization Techniques with Applications

optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. Presenting modern advances in static and dynamic;

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Introduction to Process Control

statistical techniques and methods of control and system optimization needed for the mathematical modeling, analysis, simulation, control and;

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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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Optimization and Control Methods in Industrial Engineering and Construction

This book presents recent advances in optimization and control methods with applications to industrial engineering and construction;

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Renewable Energy Systems

Renewable Energy Systems: Modelling, Optimization and Control aims to cross-pollinate recent advances in the study of renewable energy;

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Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems

This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications;

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Advances in Optimization and Applications

optimization; optimal control; optimization in economy, finance and social sciences; applications.;

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Applications of Modern Heuristic Optimization Methods in Power and Energy Systems

with transmission and distribution systems. Applications of Modern Heuristic Optimization Methods in Power and Energy Systems begins with;

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Riemannian Optimization and Its Applications

optimization problems, discusses the theoretical properties of these algorithms, and suggests possible applications of Riemannian optimization to;

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Optimization and Applications

papers cover such topics as mathematical programming, combinatorial and discrete optimization, optimal control, optimization in economics;

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Optimization in Industry

described in volume one. By connecting the optimization techniques with their applications, the gap between the people devising the methods and;

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Optimization in Industry

described in volume one. By connecting the optimization techniques with their applications, the gap between the people devising the methods and;

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Handbook of Semidefinite Programming

optimization, control theory, and statistics. This tremendous research activity has been prompted by the discovery of important applications;

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Handbook of Semidefinite Programming

optimization, control theory, and statistics. This tremendous research activity has been prompted by the discovery of important applications;

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Predictive Control

topics such as nonlinear MPC and its related algorithms, the diversification development of MPC with respect to control structures and;

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Multiparametric Optimization and Control

Recent developments in multi-parametric optimization and control Multi-Parametric Optimization and Control provides comprehensive;

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Design, Analysis and Applications of Renewable Energy Systems

systems by bringing together diverse scientific breakthroughs on the modeling, control and optimization of renewable energy systems as conveyed by;

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Optimization and Applications

combinatorial optimization, optimal control, optimization and data analysis, and game theory and mathematical economics.;

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Operations Research and Optimization

-, stochastic-, dynamic-, fuzzy-, and uncertain optimization; optimal control theory; as well as multi-objective, evolutionary and convex optimization;

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Optimization and Applications

. The papers cover such topics as optimization, operations research, optimal control, game theory, and their numerous applications in practical;

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