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Advanced Mathematical Tools for Control Engineers: Volume 1

Advanced Mathematical Tools for Control Engineers: Volume 1
  • Author : Alex Poznyak
  • Publisher : Elsevier
  • Release : 07 July 2010
GET THIS BOOKAdvanced Mathematical Tools for Control Engineers: Volume 1

Advanced Mathematical Tools for Control Engineers: Volume 1 provides a blend of Matrix and Linear Algebra Theory, Analysis, Differential Equations, Optimization, Optimal and Robust Control. It contains an advanced mathematical tool which serves as a fundamental basis for both instructors and students who study or actively work in Modern Automatic Control or in its applications. It is includes proofs of all theorems and contains many examples with solutions. It is written for researchers, engineers, and advanced students who wish to increase

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Advanced Mathematical Tools for Control Engineers: Volume 1

Advanced Mathematical Tools for Control Engineers: Volume 1
  • Author : Alex Poznyak
  • Publisher : Elsevier Science
  • Release : 22 January 2008
GET THIS BOOKAdvanced Mathematical Tools for Control Engineers: Volume 1

Advanced Mathematical Tools for Control Engineers: Volume 1 provides a blend of Matrix and Linear Algebra Theory, Analysis, Differential Equations, Optimization, Optimal and Robust Control. It contains an advanced mathematical tool which serves as a fundamental basis for both instructors and students who study or actively work in Modern Automatic Control or in its applications. It is includes proofs of all theorems and contains many examples with solutions. It is written for researchers, engineers, and advanced students who wish to increase

Book Advanced Mathematical Tools for Control Engineers: Volume 1 PDF Download/ Read Online


Advanced Mathematical Tools for Automatic Control Engineers: Volume 2

Advanced Mathematical Tools for Automatic Control Engineers: Volume 2
  • Author : Alex Poznyak
  • Publisher : Elsevier
  • Release : 13 August 2009
GET THIS BOOKAdvanced Mathematical Tools for Automatic Control Engineers: Volume 2

Advanced Mathematical Tools for Automatic Control Engineers, Volume 2: Stochastic Techniques provides comprehensive discussions on statistical tools for control engineers. The book is divided into four main parts. Part I discusses the fundamentals of probability theory, covering probability spaces, random variables, mathematical expectation, inequalities, and characteristic functions. Part II addresses discrete time processes, including the concepts of random sequences, martingales, and limit theorems. Part III covers continuous time stochastic processes, namely Markov processes, stochastic integrals, and stochastic differential equations. Part IV

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Advanced Mathematical Tools for Control Engineers: Volume 1

Advanced Mathematical Tools for Control Engineers: Volume 1
  • Author : Alex Poznyak
  • Publisher : Elsevier Science
  • Release : 22 January 2008
GET THIS BOOKAdvanced Mathematical Tools for Control Engineers: Volume 1

Advanced Mathematical Tools for Control Engineers: Volume 1 provides a blend of Matrix and Linear Algebra Theory, Analysis, Differential Equations, Optimization, Optimal and Robust Control. It contains an advanced mathematical tool which serves as a fundamental basis for both instructors and students who study or actively work in Modern Automatic Control or in its applications. It is includes proofs of all theorems and contains many examples with solutions. It is written for researchers, engineers, and advanced students who wish to increase

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The Robust Maximum Principle

The Robust Maximum Principle
  • Author : Vladimir G. Boltyanski,Alexander S. Poznyak
  • Publisher : Springer Science & Business Media
  • Release : 06 November 2011
GET THIS BOOKThe Robust Maximum Principle

Covering some of the key areas of optimal control theory (OCT), a rapidly expanding field, the authors use new methods to set out a version of OCT’s more refined ‘maximum principle.’ The results obtained have applications in production planning, reinsurance-dividend management, multi-model sliding mode control, and multi-model differential games. This book explores material that will be of great interest to post-graduate students, researchers, and practitioners in applied mathematics and engineering, particularly in the area of systems and control.

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Road Map for Sliding Mode Control Design

Road Map for Sliding Mode Control Design
  • Author : Vadim Utkin,Alex Poznyak,Yury V. Orlov,Andrey Polyakov
  • Publisher : Springer Nature
  • Release : 13 April 2020
GET THIS BOOKRoad Map for Sliding Mode Control Design

This book is devoted to control of finite and infinite dimensional processes with continuous-time and discrete time control, focusing on suppression problems and new methods of adaptation applicable for systems with sliding motions only. Special mathematical methods are needed for all the listed control tasks. These methods are addressed in the initial chapters, with coverage of the definition of the multidimensional sliding modes, the derivation of the differential equations of those motions, and the existence conditions. Subsequent chapters discusses various

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Systems, Automation, and Control

Systems, Automation, and Control
  • Author : Nabil Derbel,Faouzi Derbel
  • Publisher : Walter de Gruyter GmbH & Co KG
  • Release : 05 November 2019
GET THIS BOOKSystems, Automation, and Control

The book presents selected, extended and peer reviewed papers from the International Multiconference on System, Automation and Control held Leipzig in 2018. These are complemented with solicited contributions by international experts. Main topics are automatic control, robotics, synthesis of automation systems. Application examples range from man-machine interaction, mechatronics, on to biological and economical models.

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Optimal Design of Distributed Control and Embedded Systems

Optimal Design of Distributed Control and Embedded Systems
  • Author : Arben Çela,Mongi Ben Gaid,Xu-Guang Li,Silviu-Iulian Niculescu
  • Publisher : Springer Science & Business Media
  • Release : 29 November 2013
GET THIS BOOKOptimal Design of Distributed Control and Embedded Systems

Optimal Design of Distributed Control and Embedded Systems focuses on the design of special control and scheduling algorithms based on system structural properties as well as on analysis of the influence of induced time-delay on systems performances. It treats the optimal design of distributed and embedded control systems (DCESs) with respect to communication and calculation-resource constraints, quantization aspects, and potential time-delays induced by the associated communication and calculation model. Particular emphasis is put on optimal control signal scheduling based on

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Applied Informatics and Cybernetics in Intelligent Systems

Applied Informatics and Cybernetics in Intelligent Systems
  • Author : Radek Silhavy
  • Publisher : Springer Nature
  • Release : 07 August 2020
GET THIS BOOKApplied Informatics and Cybernetics in Intelligent Systems

This book gathers the refereed proceedings of the Applied Informatics and Cybernetics in Intelligent Systems Section of the 9th Computer Science On-line Conference 2020 (CSOC 2020), held on-line in April 2020. Modern cybernetics and computer engineering in connection with intelligent systems are an essential aspect of ongoing research. This book addresses these topics, together with automation and control theory, cybernetic applications, and the latest research trends.

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Robust Output LQ Optimal Control via Integral Sliding Modes

Robust Output LQ Optimal Control via Integral Sliding Modes
  • Author : Leonid Fridman,Alexander Poznyak,Francisco Javier Bejarano
  • Publisher : Springer
  • Release : 08 July 2014
GET THIS BOOKRobust Output LQ Optimal Control via Integral Sliding Modes

Featuring original research from well-known experts in the field of sliding mode control, this book presents new design schemes for a useful and practical optimal control with very few impractical assumptions. The results presented allow optimal control theory to grow in its applicability to real-world systems. On the cutting-edge of optimal control research, this book is an excellent resource for both graduate students and researchers in engineering, mathematics, and optimal control.

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Advances in Neural Networks – ISNN 2019

Advances in Neural Networks – ISNN 2019
  • Author : Huchuan Lu,Huajin Tang,Zhanshan Wang
  • Publisher : Springer
  • Release : 26 June 2019
GET THIS BOOKAdvances in Neural Networks – ISNN 2019

This two-volume set LNCS 11554 and 11555 constitutes the refereed proceedings of the 16th International Symposium on Neural Networks, ISNN 2019, held in Moscow, Russia, in July 2019. The 111 papers presented in the two volumes were carefully reviewed and selected from numerous submissions. The papers were organized in topical sections named: Learning System, Graph Model, and Adversarial Learning; Time Series Analysis, Dynamic Prediction, and Uncertain Estimation; Model Optimization, Bayesian Learning, and Clustering; Game Theory, Stability Analysis, and Control Method; Signal Processing, Industrial Application, and

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Sliding Modes after the first Decade of the 21st Century

Sliding Modes after the first Decade of the 21st Century
  • Author : Leonid Fridman,Jaime Moreno,Rafael Iriarte
  • Publisher : Springer Science & Business Media
  • Release : 10 September 2011
GET THIS BOOKSliding Modes after the first Decade of the 21st Century

The book presents the newest results of the major world research groups working in the area of Variable Structure Systems and Sliding Mode Control (VSS/SMC). The research activity of these groups is coordinated by the IEEE Technical Committee on Variable Structure Systems (VSS) and Sliding Modes (SM). The presented results include the reports of the research groups collaborating in a framework of the Unión European Union – México project of Fondo de Cooperación Internacional en Ciencia y

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Attractive Ellipsoids in Robust Control

Attractive Ellipsoids in Robust Control
  • Author : Alexander Poznyak,Andrey Polyakov,Vadim Azhmyakov
  • Publisher : Springer
  • Release : 29 September 2014
GET THIS BOOKAttractive Ellipsoids in Robust Control

This monograph introduces a newly developed robust-control design technique for a wide class of continuous-time dynamical systems called the “attractive ellipsoid method.” Along with a coherent introduction to the proposed control design and related topics, the monograph studies nonlinear affine control systems in the presence of uncertainty and presents a constructive and easily implementable control strategy that guarantees certain stability properties. The authors discuss linear-style feedback control synthesis in the context of the above-mentioned systems. The development and physical implementation

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Ozonation and Biodegradation in Environmental Engineering

Ozonation and Biodegradation in Environmental Engineering
  • Author : Tatyana Poznyak,Jorge Isaac Chairez Oria,Alex Poznyak
  • Publisher : Elsevier
  • Release : 07 November 2018
GET THIS BOOKOzonation and Biodegradation in Environmental Engineering

Ozonation and Biodegradation in Environmental Engineering: Dynamic Neural Network Approach gives a unified point-of-view on the application of DNN to estimate and control the application of ozonation and biodegradation in chemical and environmental engineering. This book deals with modelling and control design of chemical processes oriented to environmental and chemical engineering problems. Elimination in liquid, solid and gaseous phases are all covered, along with processes of laboratory scale that are evaluated with software sensors and controllers based on DNN technique,

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