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Advances in the Control of Markov Jump Linear Systems with No Mode Observation

de Alessandro N. Vargas, Eduardo F. Costa, João B. R. do Val ...

Series series Engineering (R0)
This brief broadens readers’ understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS. ... Leer más

$906 MXN

This brief broadens readers’ understanding of stochastic control by highlighting recent advances in the design of optimal control for Markov jump linear systems (MJLS). It also presents an algorithm that attempts to solve this open stochastic control problem, and provides a real-time application for controlling the speed of direct current motors, illustrating the practical usefulness of MJLS.
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Simulation-Based Algorithms for Markov Decision Processes

de Hyeong Soo Chang, Jiaqiao Hu, Michael C. Fu, Steven I. Marcus ...

Series series Engineering (R0)
Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the ... Leer más

$1,632 MXN

Markov decision process (MDP) models are widely used for modeling sequential decision-making problems that arise in engineering, economics, computer science, and the social sciences. Many real-world problems modeled by MDPs have huge state and/or action spaces, giving an opening to the curse of dimensionality and so making practical solution of the resulting models intractable. In other cases, the
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Advances in Statistical Control, Algebraic Systems Theory, and Dynamic Systems Characteristics

A Tribute to Michael K. Sain

Edición de Chang-Hee Won, Cheryl B. Schrader, Anthony N. Michel ...

Series series Mathematics and Statistics (R0)
Life has many surprises. One of the best surprises is meeting a caring mentor, an encouraging collaborator, or an enthusiastic friend. This volume is a tribute to P- fessor Michael K. Sain, who is such a teacher,colleague,and friend.On the beautiful fall day of October 27, 2007, friends, families, colleagues, and former students ga- ered at a workshop held in Notre Dame, Indiana. This workshop ... Leer más

$1,632 MXN

Life has many surprises. One of the best surprises is meeting a caring mentor, an encouraging collaborator, or an enthusiastic friend. This volume is a tribute to P- fessor Michael K. Sain, who is such a teacher,colleague,and friend.On the beautiful fall day of October 27, 2007, friends, families, colleagues, and former students ga- ered at a workshop held in Notre Dame, Indiana. This workshop
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General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions

de Xu Zhang, Qi Lü ...

Series series Mathematics and Statistics (R0)
The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory. The corresponding theory is by now well-developed in the deterministic infinite dimensional setting and for the stochastic differential equations. However, very little is known about the same problem but for controlled stochastic ... Leer más

$1,088 MXN

The classical Pontryagin maximum principle (addressed to deterministic finite dimensional control systems) is one of the three milestones in modern control theory. The corresponding theory is by now well-developed in the deterministic infinite dimensional setting and for the stochastic differential equations. However, very little is known about the same problem but for controlled stochastic
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Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments

de Minghui Zhu, Sonia Martínez ...

Series series Engineering (R0)
This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes and analyzes distributed strategies for three collaborative tasks: distributed cooperative optimization, mobile sensor deployment and multi-vehicle formation control. The book integrates miscellaneous ... Leer más

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This book offers a concise and in-depth exposition of specific algorithmic solutions for distributed optimization based control of multi-agent networks and their performance analysis. It synthesizes and analyzes distributed strategies for three collaborative tasks: distributed cooperative optimization, mobile sensor deployment and multi-vehicle formation control. The book integrates miscellaneous
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Model-Free Stabilization by Extremum Seeking

de Alexander Scheinker, Miroslav Krstić ...

Series series Engineering (R0)
With this brief, the authors present algorithms for model-free stabilization of unstable dynamic systems. An extremum-seeking algorithm assigns the role of a cost function to the dynamic system’s control Lyapunov function (clf) aiming at its minimization. The minimization of the clf drives the clf to zero and achieves asymptotic stabilization. This approach does not rely on, or require knowledge ... Leer más

$1,178 MXN

With this brief, the authors present algorithms for model-free stabilization of unstable dynamic systems. An extremum-seeking algorithm assigns the role of a cost function to the dynamic system’s control Lyapunov function (clf) aiming at its minimization. The minimization of the clf drives the clf to zero and achieves asymptotic stabilization. This approach does not rely on, or require knowledge
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Math for the Digital Factory

Edición de Luca Ghezzi, Dietmar Hömberg, Chantal Landry ...

Series series Mathematics and Statistics (R0)
This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing. It addresses various topics, ranging from models of single production technologies, production lines, logistics and workflows to models and optimization strategies for energy consumption in production.The digital factory represents a network of digital models and simulation and 3D ... Leer más

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This volume provides a unique collection of mathematical tools and industrial case studies in digital manufacturing. It addresses various topics, ranging from models of single production technologies, production lines, logistics and workflows to models and optimization strategies for energy consumption in production.The digital factory represents a network of digital models and simulation and 3D
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Event-Based State Estimation

A Stochastic Perspective

de Dawei Shi, Ling Shi, Tongwen Chen ...

Series series Engineering (R0)
This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed.The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and ... Leer más

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This book explores event-based estimation problems. It shows how several stochastic approaches are developed to maintain estimation performance when sensors perform their updates at slower rates only when needed.The self-contained presentation makes this book suitable for readers with no more than a basic knowledge of probability analysis, matrix algebra and linear systems. The introduction and
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An Introduction to Optimal Control Problems in Life Sciences and Economics

From Mathematical Models to Numerical Simulation with MATLAB®

de Sebastian Aniţa, Viorel Arnăutu, Vincenzo Capasso ...

Series series Mathematics and Statistics (R0)
Combining two important and growing areas of applied mathematics—control theory and modeling—this textbook introduces and builds on methods for simulating and tackling concrete problems in a variety of applied sciences.Emphasizing "learning by doing," the authors focus on examples and applications to real-world problems. An elementary presentation of advanced concepts, proofs to introduce new ... Leer más

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Combining two important and growing areas of applied mathematics—control theory and modeling—this textbook introduces and builds on methods for simulating and tackling concrete problems in a variety of applied sciences.Emphasizing "learning by doing," the authors focus on examples and applications to real-world problems. An elementary presentation of advanced concepts, proofs to introduce new
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New Perspectives and Applications of Modern Control Theory

In Honor of Alexander S. Poznyak

Edición de Wen Yu, Julio B. Clempner ...

Series series Engineering (R0)
This edited monograph contains research contributions on a wide range of topics such as stochastic control systems, adaptive control, sliding mode control and parameter identification methods. The book also covers applications of robust and adaptice control to chemical and biotechnological systems. This collection of papers commemorates the 70th birthday of Dr. Alexander S. Poznyak. ... Leer más

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This edited monograph contains research contributions on a wide range of topics such as stochastic control systems, adaptive control, sliding mode control and parameter identification methods. The book also covers applications of robust and adaptice control to chemical and biotechnological systems. This collection of papers commemorates the 70th birthday of Dr. Alexander S. Poznyak.
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Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems

An Interpolation-Based Approach

de Hoai-Nam Nguyen ...

Series series Engineering (R0)
A comprehensive development of interpolating control, this monograph demonstrates the reduced computational complexity of a ground-breaking technique compared with the established model predictive control. The text deals with the regulation problem for linear, time-invariant, discrete-time uncertain dynamical systems having polyhedral state and control constraints, with and without disturbances, ... Leer más

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A comprehensive development of interpolating control, this monograph demonstrates the reduced computational complexity of a ground-breaking technique compared with the established model predictive control. The text deals with the regulation problem for linear, time-invariant, discrete-time uncertain dynamical systems having polyhedral state and control constraints, with and without disturbances,
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Nonlinear Stochastic Systems with Incomplete Information

Filtering and Control

de Zidong Wang, Bo Shen, Huisheng Shu ...

Series series Engineering (R0)
Nonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem considered here include: missing measurements; sensor delays and saturation; quantization effects; and signal sampling.Divided into three parts, the text begins with a focus on H∞ filtering and control problems associated with general classes of nonlinear stochastic ... Leer más

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Nonlinear Stochastic Processes addresses the frequently-encountered problem of incomplete information. The causes of this problem considered here include: missing measurements; sensor delays and saturation; quantization effects; and signal sampling.Divided into three parts, the text begins with a focus on H∞ filtering and control problems associated with general classes of nonlinear stochastic
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Advances in the Control of Markov Jump Linear Systems with No Mode Observation

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Simulation-Based Algorithms for Markov Decision Processes

Advances in Statistical Control, Algebraic Systems Theory, and Dynamic Systems Characteristics

General Pontryagin-Type Stochastic Maximum Principle and Backward Stochastic Evolution Equations in Infinite Dimensions

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

Model-Free Stabilization by Extremum Seeking

Math for the Digital Factory

Event-Based State Estimation

An Introduction to Optimal Control Problems in Life Sciences and Economics

New Perspectives and Applications of Modern Control Theory

Constrained Control of Uncertain, Time-Varying, Discrete-Time Systems

Nonlinear Stochastic Systems with Incomplete Information