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Computational Optimal Control

Computational Optimal Control: Tools and Practice provides a detailed guide to informed use of computational optimal control in advanced;

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Optimal Control for Chemical Engineers

optimality. He also describes important numerical methods and computational algorithms for solving a wide range of optimal control problems;

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Optimal Control for Chemical Engineers

optimality. He also describes important numerical methods and computational algorithms for solving a wide range of optimal control problems;

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Applied and Computational Optimal Control

scaling transformation. It presents computational solution techniques for a special class of constrained optimal control problems as well as;

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Applied and Computational Optimal Control

scaling transformation. It presents computational solution techniques for a special class of constrained optimal control problems as well as;

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Dynamic Analysis in Complex Economic Environments

dynamics and computational economics. It appeals to academics in the areas of optimal control, dynamic games and computational economics as well as;

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Symplectic Pseudospectral Methods for Optimal Control

The book focuses on symplectic pseudospectral methods for nonlinear optimal control problems and their applications. Both the fundamental;

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Geometric and Numerical Optimal Control

applied mathematics and control engineering to geometric and computational techniques in optimal control.;

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Optimization of Linear Control Systems

computational algorithms for synthesis of optimal regulators and filters. The procedures of Youla-Jabr-Bongiorno (1976) and Desoer-Lin-Murray-Saeks;

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Advances in Dynamics, Optimization and Computation

This book presents a collection of papers on recent advances in problems concerning dynamics, optimal control and optimization. In many;

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Noisy Information and Computational Complexity

In this volume, which was originally published in 1996, noisy information is studied in the context of computational complexity; in other;

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Noisy Information and Computational Complexity

In this volume, which was originally published in 1996, noisy information is studied in the context of computational complexity; in other;

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Computational Geometry

include problems of optimal triangulation, splines, data interpolation, problems of curve and surface design, problems of shape control, quantum;

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Optimal Control of Dynamic Systems Driven by Vector Measures

differential equations, including extensive results on the existence of optimal controls and necessary conditions for optimality. Computational;

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Formulation and Numerical Solution of Quantum Control Problems

computing, optimal control and exact controllability, optimization with differential models, and the sciences and engineering that require quantum;

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Variational Methods

problems and shape spaces to computer vision and computational anatomy. The second part is geared towards geometric control and related topics;

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Uncertain Optimal Control

This book introduces the theory and applications of uncertain optimal control, and establishes two types of models including expected value;

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Continuous Time Dynamical Systems

Optimal control deals with the problem of finding a control law for a given system such that a certain optimality criterion is achieved. An;

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Linear Optimal Control

Linear Optimal Control: H2 and H Methods is a reader-friendly book that features recent research results on robustness, H control;

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Minimax Models in the Theory of Numerical Methods

sequentially optimal algorithms, which in many cases reflects the characterics of real-life computational processes more fully than the traditional;

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Time Optimal Control of Evolution Equations

This monograph develops a framework for time-optimal control problems, focusing on minimal and maximal time-optimal controls for linear;

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Robust Output LQ Optimal Control via Integral Sliding Modes

useful and practical optimal control with very few impractical assumptions. The results presented allow optimal control theory to grow in its;

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Methods of Optimal Statistical Decisions, Optimal Control, and Stochastic Differential Equations

Methods of Optimal Statistical Decisions, Optimal Control, and Stochastic Differential Equations is een boek van Ellida M Khazen;

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Intelligent Computing, Information and Control Systems

uncertainties, vagueness and stochastic nature of various computational problems practically. At the same time, Intelligent Control systems are emerging;

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Optimal Control Models in Finance

research agenda. The demonstrated extensions in this book in the computation and modeling of optimal control in finance have shown the need and;

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Robust Control Design: An Optimal Control Approach

Comprehensive and accessible guide to the three main approaches to robust control design and its applications Optimal control is a;

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Optimal Space Flight Navigation: An Analytical Approach

. Books on optimal control theory and orbital mechanics have not adequately explored the field of space flight navigation theory until this point;

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