Stochastics Control And Robotics

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Stochastics, Control and Robotics

Author : Harish Parthasarathy
Publisher : CRC Press
Page : 491 pages
File Size : 49,5 Mb
Release : 2021-06-23
Category : Mathematics
ISBN : 9781000425932

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Stochastics, Control and Robotics by Harish Parthasarathy Pdf

This book discusses various problems in stochastic Processes, Control Theory, Electromagnetics, Classical and Quantum Field Theory & Quantum Stochastics. The problems are chosen to motivate the interested reader to learn more about these subjects from other standard sources. Stochastic Process theory is applied to the study of differential equations of mechanics subject to external noise. Some issues in general relativity like Geodesic motion, field theory in curved space time etc. are discussed via isolated problems. The more recent quantum stochastic process theory as formulated by R.L. Hudson and K. R. Parathasarathy is discussed. This provides a non commutative operator theoretic version of stochastic process theory. V.P. Belavkin's approach to quantum filtering based on non demolition measurements and Hudson Parathasarathy calculus has been discussed in detail. Quantum versions of the simple exclusion model in Markov process theory have been included. 3D Robots carring a current density interacting with an external Klein- Gordon or Electromagnetic field has been given some attention. The readers will after going through this book, be ready to carry out independent research in classical and quantum field theory and stochastic processes as applied to practical problems. Note: T&F does not sell or distribute the Hardback in India, Pakistan, Nepal, Bhutan, Bangladesh and Sri Lanka.

Stochastic Reactive Distributed Robotic Systems

Author : Gregory Mermoud
Publisher : Springer
Page : 215 pages
File Size : 49,6 Mb
Release : 2013-10-01
Category : Technology & Engineering
ISBN : 9783319026091

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Stochastic Reactive Distributed Robotic Systems by Gregory Mermoud Pdf

This monograph presents the development of novel model-based methodologies for engineering self-organized and self-assembled systems. The work bridges the gap between statistical mechanics and control theory by tackling a number of challenges for a class of distributed systems involving a specific type of constitutive components, namely referred to as Smart Minimal Particles. The results described in the volume are expected to lead to more robust, dependable, and inexpensive distributed systems such as those endowed with complex and advanced sensing, actuation, computation, and communication capabilities.

Control Systems, Robotics and AutomatioN – Volume XI

Author : Heinz D. Unbehauen
Publisher : EOLSS Publications
Page : 406 pages
File Size : 47,9 Mb
Release : 2009-10-11
Category : Electronic
ISBN : 9781848261501

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Control Systems, Robotics and AutomatioN – Volume XI by Heinz D. Unbehauen Pdf

This Encyclopedia of Control Systems, Robotics, and Automation is a component of the global Encyclopedia of Life Support Systems EOLSS, which is an integrated compendium of twenty one Encyclopedias. This 22-volume set contains 240 chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It is the only publication of its kind carrying state-of-the-art knowledge in the fields of Control Systems, Robotics, and Automation and is aimed, by virtue of the several applications, at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.

Stochastic Control in Insurance

Author : Hanspeter Schmidli
Publisher : Springer Science & Business Media
Page : 263 pages
File Size : 41,7 Mb
Release : 2007-11-20
Category : Business & Economics
ISBN : 9781848000032

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Stochastic Control in Insurance by Hanspeter Schmidli Pdf

Yet again, here is a Springer volume that offers readers something completely new. Until now, solved examples of the application of stochastic control to actuarial problems could only be found in journals. Not any more: this is the first book to systematically present these methods in one volume. The author starts with a short introduction to stochastic control techniques, then applies the principles to several problems. These examples show how verification theorems and existence theorems may be proved, and that the non-diffusion case is simpler than the diffusion case. Schmidli’s brilliant text also includes a number of appendices, a vital resource for those in both academic and professional settings.

Dynamics and Control of Robotic Manipulators with Contact and Friction

Author : Shiping Liu,Gang Chen (Mechanical engineer)
Publisher : Unknown
Page : 128 pages
File Size : 40,9 Mb
Release : 2019
Category : TECHNOLOGY & ENGINEERING
ISBN : 1119422515

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Dynamics and Control of Robotic Manipulators with Contact and Friction by Shiping Liu,Gang Chen (Mechanical engineer) Pdf

"Self-contained and comprehensive reference with systematic treatment and a unified framework - Simulation and experiments are both used in dynamics and control of robot considering contact, impact and friction - Discusses latest tribology methodology to treat the multiple ?scale effects - Description of experiments and software used - Detailed account on the methods to handle friction in the closed loop, including the principles, implementation, application scope, the merits and demerits - Unified treatment covering tribology and multi-scales, multi-physics, nonlinear stochastic dynamics control Market description: Primary market: Senior undergraduate, graduate students of robotics, mechatronics, mechanical engineering, tracking control. Secondary market: Practicing professionals and industrial researchers"--

Stochastic Systems

Author : P. R. Kumar,Pravin Varaiya
Publisher : SIAM
Page : 371 pages
File Size : 42,6 Mb
Release : 2015-12-15
Category : Mathematics
ISBN : 9781611974256

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Stochastic Systems by P. R. Kumar,Pravin Varaiya Pdf

Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.

Dynamic Stochastic Optimization

Author : Kurt Marti,Yuri Ermoliev,Georg Ch. Pflug
Publisher : Springer Science & Business Media
Page : 337 pages
File Size : 49,7 Mb
Release : 2012-12-06
Category : Science
ISBN : 9783642558849

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Dynamic Stochastic Optimization by Kurt Marti,Yuri Ermoliev,Georg Ch. Pflug Pdf

Uncertainties and changes are pervasive characteristics of modern systems involving interactions between humans, economics, nature and technology. These systems are often too complex to allow for precise evaluations and, as a result, the lack of proper management (control) may create significant risks. In order to develop robust strategies we need approaches which explic itly deal with uncertainties, risks and changing conditions. One rather general approach is to characterize (explicitly or implicitly) uncertainties by objec tive or subjective probabilities (measures of confidence or belief). This leads us to stochastic optimization problems which can rarely be solved by using the standard deterministic optimization and optimal control methods. In the stochastic optimization the accent is on problems with a large number of deci sion and random variables, and consequently the focus ofattention is directed to efficient solution procedures rather than to (analytical) closed-form solu tions. Objective and constraint functions of dynamic stochastic optimization problems have the form of multidimensional integrals of rather involved in that may have a nonsmooth and even discontinuous character - the tegrands typical situation for "hit-or-miss" type of decision making problems involving irreversibility ofdecisions or/and abrupt changes ofthe system. In general, the exact evaluation of such functions (as is assumed in the standard optimization and control theory) is practically impossible. Also, the problem does not often possess the separability properties that allow to derive the standard in control theory recursive (Bellman) equations.

Stochastic Dynamics and Control

Author : Jian-Qiao Sun
Publisher : Elsevier
Page : 426 pages
File Size : 52,8 Mb
Release : 2006-08-10
Category : Mathematics
ISBN : 0080463983

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Stochastic Dynamics and Control by Jian-Qiao Sun Pdf

This book is a result of many years of author’s research and teaching on random vibration and control. It was used as lecture notes for a graduate course. It provides a systematic review of theory of probability, stochastic processes, and stochastic calculus. The feedback control is also reviewed in the book. Random vibration analyses of SDOF, MDOF and continuous structural systems are presented in a pedagogical order. The application of the random vibration theory to reliability and fatigue analysis is also discussed. Recent research results on fatigue analysis of non-Gaussian stress processes are also presented. Classical feedback control, active damping, covariance control, optimal control, sliding control of stochastic systems, feedback control of stochastic time-delayed systems, and probability density tracking control are studied. Many control results are new in the literature and included in this book for the first time. The book serves as a reference to the engineers who design and maintain structures subject to harsh random excitations including earthquakes, sea waves, wind gusts, and aerodynamic forces, and would like to reduce the damages of structural systems due to random excitations. · Comprehensive review of probability theory, and stochastic processes · Random vibrations · Structural reliability and fatigue, Non-Gaussian fatigue · Monte Carlo methods · Stochastic calculus and engineering applications · Stochastic feedback controls and optimal controls · Stochastic sliding mode controls · Feedback control of stochastic time-delayed systems · Probability density tracking control

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION – Volume VIII

Author : Heinz D. Unbehauen
Publisher : EOLSS Publications
Page : 458 pages
File Size : 43,6 Mb
Release : 2009-10-11
Category : Electronic
ISBN : 9781848261471

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CONTROL SYSTEMS, ROBOTICS AND AUTOMATION – Volume VIII by Heinz D. Unbehauen Pdf

This Encyclopedia of Control Systems, Robotics, and Automation is a component of the global Encyclopedia of Life Support Systems EOLSS, which is an integrated compendium of twenty one Encyclopedias. This 22-volume set contains 240 chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It is the only publication of its kind carrying state-of-the-art knowledge in the fields of Control Systems, Robotics, and Automation and is aimed, by virtue of the several applications, at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs.

Optimal Design of Control Systems

Author : Gennadii E. Kolosov
Publisher : CRC Press
Page : 420 pages
File Size : 41,6 Mb
Release : 2020-08-26
Category : Mathematics
ISBN : 9781000103328

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Optimal Design of Control Systems by Gennadii E. Kolosov Pdf

"Covers design methods for optimal (or quasioptimal) control algorithms in the form of synthesis for deterministic and stochastic dynamical systems-with applications in aerospace, robotic, and servomechanical technologies. Providing new results on exact and approximate solutions of optimal control problems."

Intelligent Control

Author : Kaushik Das Sharma,Amitava Chatterjee,Anjan Rakshit
Publisher : Springer
Page : 302 pages
File Size : 45,6 Mb
Release : 2018-08-28
Category : Technology & Engineering
ISBN : 9789811312984

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Intelligent Control by Kaushik Das Sharma,Amitava Chatterjee,Anjan Rakshit Pdf

This book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞ theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.

Stochastic Control and Filtering over Constrained Communication Networks

Author : Qinyuan Liu,Zidong Wang,Xiao He
Publisher : Springer
Page : 222 pages
File Size : 40,8 Mb
Release : 2018-10-24
Category : Technology & Engineering
ISBN : 9783030001575

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Stochastic Control and Filtering over Constrained Communication Networks by Qinyuan Liu,Zidong Wang,Xiao He Pdf

​Stochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including: recursive Riccati equations; matrix decomposition; optimal estimation theory; and mathematical optimization methods. Readers will benefit from the book’s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.

CONTROL SYSTEMS, ROBOTICS AND AUTOMATION – Volume VI

Author : Heinz D. Unbehauen
Publisher : EOLSS Publications
Page : 524 pages
File Size : 48,6 Mb
Release : 2009-10-11
Category : Electronic
ISBN : 9781848261457

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CONTROL SYSTEMS, ROBOTICS AND AUTOMATION – Volume VI by Heinz D. Unbehauen Pdf

This Encyclopedia of Control Systems, Robotics, and Automation is a component of the global Encyclopedia of Life Support Systems EOLSS, which is an integrated compendium of twenty one Encyclopedias. This 22-volume set contains 240 chapters, each of size 5000-30000 words, with perspectives, applications and extensive illustrations. It is the only publication of its kind carrying state-of-the-art knowledge in the fields of Control Systems, Robotics, and Automation and is aimed, by virtue of the several applications, at the following five major target audiences: University and College Students, Educators, Professional Practitioners, Research Personnel and Policy Analysts, Managers, and Decision Makers and NGOs

Stochastic Optimization Methods

Author : Kurt Marti
Publisher : Springer
Page : 368 pages
File Size : 52,5 Mb
Release : 2015-02-21
Category : Business & Economics
ISBN : 9783662462140

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Stochastic Optimization Methods by Kurt Marti Pdf

This book examines optimization problems that in practice involve random model parameters. It details the computation of robust optimal solutions, i.e., optimal solutions that are insensitive with respect to random parameter variations, where appropriate deterministic substitute problems are needed. Based on the probability distribution of the random data and using decision theoretical concepts, optimization problems under stochastic uncertainty are converted into appropriate deterministic substitute problems. Due to the probabilities and expectations involved, the book also shows how to apply approximative solution techniques. Several deterministic and stochastic approximation methods are provided: Taylor expansion methods, regression and response surface methods (RSM), probability inequalities, multiple linearization of survival/failure domains, discretization methods, convex approximation/deterministic descent directions/efficient points, stochastic approximation and gradient procedures and differentiation formulas for probabilities and expectations. In the third edition, this book further develops stochastic optimization methods. In particular, it now shows how to apply stochastic optimization methods to the approximate solution of important concrete problems arising in engineering, economics and operations research.

Stochastic Systems

Author : P. R. Kumar,Pravin Varaiya
Publisher : SIAM
Page : 371 pages
File Size : 49,9 Mb
Release : 2015-12-15
Category : Mathematics
ISBN : 9781611974263

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Stochastic Systems by P. R. Kumar,Pravin Varaiya Pdf

Since its origins in the 1940s, the subject of decision making under uncertainty has grown into a diversified area with application in several branches of engineering and in those areas of the social sciences concerned with policy analysis and prescription. These approaches required a computing capacity too expensive for the time, until the ability to collect and process huge quantities of data engendered an explosion of work in the area. This book provides succinct and rigorous treatment of the foundations of stochastic control; a unified approach to filtering, estimation, prediction, and stochastic and adaptive control; and the conceptual framework necessary to understand current trends in stochastic control, data mining, machine learning, and robotics.?