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Control Theory and Optimization I

sides, closely related to the calculus of variations and optimal control theory. Based on the author's lectures, the book is addressed to;

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Control Theory and Optimization I

sides, closely related to the calculus of variations and optimal control theory. Based on the author's lectures, the book is addressed to;

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Optimization and Differentiation

Optimization and Differentiation is an introduction to the application of optimization control theory to systems described by nonlinear;

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Optimization and Control for Systems in the Big-Data Era

frameworks to help overcome this obstacle. Optimization and Control for Systems in the Big-Data Era: Theory and Applications is divided into five;

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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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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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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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Intelligent Control

approaches/H theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic;

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Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

systems, control theory, graph theory, optimization, game theory and Markov chains to address the particular challenges introduced by such;

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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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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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Introduction to the Theory of Nonlinear Optimization

This book serves as an introductory text to optimization theory in normed spaces and covers all areas of nonlinear optimization. It;

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Introduction to the Theory of Nonlinear Optimization

This book serves as an introductory text to optimization theory in normed spaces and covers all areas of nonlinear optimization. It;

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Portfolio Optimization with Different Information Flow

optimization theory and the enlargement filtration theory.The authors apply the theory of the enlargement of filtrations and solve the optimization;

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Optimization, Dynamics, and Economic Analysis

This book includes a collection of articles that present recent developments in the fields of optimization and dynamic game theory;

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Optimization Under Stochastic Uncertainty

. For approximate solution of optimization and control problems with random parameters and involving expected cost/loss-type objective;

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Optimization Under Stochastic Uncertainty

. For approximate solution of optimization and control problems with random parameters and involving expected cost/loss-type objective;

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Optimization of Distributed Parameter Structures - Volume I

structural optimization. Optimality criteria obtained using variational methods of mech anics, calculus of variation, optimal control theory, and;

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Control and Boundary Analysis

fixed boundary, control theory, shape optimization and moving boundaries, and topological shape optimization. This edition discusses all;

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Control and Boundary Analysis

fixed boundary, control theory, shape optimization and moving boundaries, and topological shape optimization. This edition discusses all;

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Mathematical Modelling and Optimization of Engineering Problems

for solving complex real-world problems. It provides recent theoretical developments and new techniques based on control, optimization theory;

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Foundations of Applied Mathematics, Volume 2

of both the theory and practice of algorithms, approximation, and optimization-essential topics in modern applied and computational mathematics;

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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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Stochastic Networked Control Systems: Stabilization and Optimization Under Information Constraints

industrial researchers interested in control theory, information theory, optimization, economics, and applied mathematics. It could likewise serve as;

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Network Optimization Methods in Passivity-Based Cooperative Control

This book establishes an important mathematical connection between cooperative control problems and network optimization problems. It shows;

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