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Recent Developments in Automatic Control Systems [Hardback]

  • Formāts: Hardback, 452 pages, height x width: 234x156 mm, weight: 453 g, 20 Tables, black and white; 13 Line drawings, color; 62 Line drawings, black and white; 9 Halftones, color; 26 Halftones, black and white; 22 Illustrations, color; 88 Illustrations, black and white
  • Sērija : River Publishers Series in Automation, Control and Robotics
  • Izdošanas datums: 30-Jan-2023
  • Izdevniecība: River Publishers
  • ISBN-10: 8770226741
  • ISBN-13: 9788770226745
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  • Formāts: Hardback, 452 pages, height x width: 234x156 mm, weight: 453 g, 20 Tables, black and white; 13 Line drawings, color; 62 Line drawings, black and white; 9 Halftones, color; 26 Halftones, black and white; 22 Illustrations, color; 88 Illustrations, black and white
  • Sērija : River Publishers Series in Automation, Control and Robotics
  • Izdošanas datums: 30-Jan-2023
  • Izdevniecība: River Publishers
  • ISBN-10: 8770226741
  • ISBN-13: 9788770226745
Citas grāmatas par šo tēmu:
This monograph provides an overview of the recent developments in modern control systems including new theoretical findings and successful examples of practical implementation of the control theory in different areas of industrial and special applications.

Recent Developments in Automatic Control Systems consists of extended versions of selected papers presented at the XXVI International Conference on Automatic Control "Automation 2020" (October 13-15, 2020, Kyiv, Ukraine) which is the main Ukrainian Control Conference organized by the Ukrainian Association on Automatic Control (national member organization of IFAC) and the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute."

This is the third monograph in the River Publishers series in Automation, Control and Robotics based on the selected papers of the Ukrainian Control Conferences "Automation", in particular, the first monograph Control Systems: Theory and Applications (2018) was published based on "Automation - 2017" and the second monograph Advanced Control Systems: Theory and Applications was based on "Automation - 2018".

This monograph is divided into three main parts: (a) Advances in Theoretical Research of Control Systems; (b) Advances in Control Systems Application; (c) Recent Developments in Collaborative Automation.

The chapters are structured to provide an easy-to-follow introduction to the topics that are addressed, including the most relevant references, so that anyone interested in this field can get started in the area.

This book may be useful for researchers and students who are interested in recent developments in modern control systems, robust adaptive systems, optimal control, fuzzy control, motion control, identification, modelling, differential games, evolutionary optimization, reliability control, security control, intelligent robotics and cyber-physical systems.
Preface xiii
List of Figures
xxi
List of Tables
xxix
List of Contributors
xxxi
List of Notations and Abbreviations
xxxv
Part I Advances in Theoretical Research of Control Systems
1(164)
1 Control of Moving Object Groups in a Conflict Situation
3(28)
A. Chikrii
1.1 Introduction
4(1)
1.2 Function ω(n, v), Encirclement by Pshenihnyi, Scheme of the Method of Resolving Functions
4(5)
1.3 Group Pursuit of a Moving Object
9(5)
1.4 Non-fixed Time of Game Termination
14(3)
1.5 The Group Pursuit. Linear State Constraints
17(5)
1.6 Principle of Shortest Broken Line in Successive Pursuit
22(5)
1.7 Conclusion
27(4)
References
27(4)
2 Applications of Variational Analysis to Controlled Sweeping Processes
31(30)
Boris S. Mordukhovich
2.1 Introduction and Discussions
32(4)
2.2 Generalized Differentiation of Variational Analysis
36(3)
2.3 Dynamic Optimization via Controlled Moving Sets
39(9)
2.4 Sweeping Processes with Controlled Dynamics
48(3)
2.5 Some Applications
51(4)
2.6 Conclusion
55(6)
Acknowledgments
56(1)
References
56(5)
3 Robust and Robustly-Adaptive Control of Some Noninvertible Memoryless Systems
61(36)
L. Zhiteckii
K. Solovchuk
3.1 Introduction
62(1)
3.2 Problem Statement
63(2)
3.3 Preliminaries
65(4)
3.4 Robust Nonadaptive Control
69(7)
3.5 Robustly-Adaptive Control of Square Systems (Case 1)
76(8)
3.6 Robustly-Adaptive Control of Square Systems (Case 2)
84(2)
3.7 Robustly-Adaptive Control of Nonsquare Systems
86(5)
3.8 Conclusion
91(6)
References
91(6)
4 Nonlinear Integral Inequalities and Differential Games of Avoiding Encounter
97(16)
L.P. Yugay
4.1 Introduction
97(3)
4.1.1 On the First Integral Inequalities
97(1)
4.1.2 Development of the Theory of Integral Inequalities (Brief Survey)
98(2)
4.2 Investigation of Nonlinear Holder Type Integral Inequality
100(6)
4.2.1 Main Results
100(4)
4.2.2 Applications of Integral Inequalities in Differential Games of Avoiding an Encounter
104(1)
4.2.3 Comparison of Results
105(1)
4.2.4 Remarks
106(1)
4.3 Conclusion
106(7)
Acknowledgments
107(1)
References
107(6)
5 Principle of Time Dilation in Game Problems of Dynamics
113(18)
G.T.S. Chikrii
5.1 Introduction
114(2)
5.2 Statement of the Game Problem. Classic and Modified Pontryagin's Condition
116(2)
5.3 Method Scheme
118(2)
5.4 Main Statement
120(2)
5.5 Example
122(4)
5.6 Conclusion
126(5)
References
127(4)
6 Method of Upper and Lower Resolving Functions for Pursuit Differential-difference Games with Pure Delay
131(14)
L. V. Baranovska
6.1 Introduction
131(1)
6.2 Statement of the Problem
132(2)
6.3 Scheme of the Method
134(4)
6.4 Conclusion
138(7)
References
139(6)
7 Adaptive Method for the Variational Inequality Problem Over the Set of Solutions of the Equilibrium Problem
145(20)
Y. Vedel
S. Denisov
V. Semenov
7.1 Introduction
146(1)
7.2 Problem Formulation
147(1)
7.3 Tikhonov-Browder Approximation
148(3)
7.4 Algorithm
151(1)
7.5 Proof of Algorithm Convergence
152(6)
7.6 Algorithm for Two-Level Variational Inequalities
158(1)
7.7 Conclusion
159(6)
Acknowlegdments
160(1)
References
160(5)
Part II Advances in Control Systems Application
165(160)
8 Identification of Complex Systems in the Class of Linear Regression Models
167(30)
V. Gubarev
S. Melnychuk
N. Salnikov
8.1 Introduction
168(1)
8.2 Active Experiments and Informative Data
169(4)
8.3 Method of Identification
173(5)
8.3.1 Model Order Selection
173(3)
8.3.2 SVD Parametric Identification
176(1)
8.3.3 Total Model Reconstruction
176(1)
8.3.4 Quasioptimal Model Dimensions
177(1)
8.4 Simulation Results
178(15)
8.4.1 Algorithm of identification
179(2)
8.4.2 Excitation of system modes
181(5)
8.4.3 Effect of Using the Signal Part of Matrices
186(1)
8.4.4 Effect of Discarding Data Close to Noise
187(1)
8.4.5 The Best Systems for Identification
188(1)
8.4.6 Model Order Determination
188(4)
8.4.7 Maximum Dimension of Identifiable Model
192(1)
8.5 Conclusion
193(4)
References
194(3)
9 Fuzzy Systems Design: Optimal Selection of Linguistic Terms Number
197(44)
Oleksiy Kozlov
Yuriy Kondratenko
Oleksandr Skakodub
Zbigniew Gomolka
9.1 Introduction
198(1)
9.2 Related Works and Problem Statement
199(5)
9.3 Information Technology for Fuzzy Systems Design and Structural Optimization with Optimal Selection of Linguistic Terms Number
204(10)
9.4 Design and Structural Optimization of the Fuzzy Control System for the Quadrotor Unmanned Aerial Vehicle
214(14)
9.5 Conclusion
228(13)
References
230(11)
10 Analysis of the Dynamics and Controllability of an Autonomous Mobile Robot with a Manipulator
241(20)
Ashhepkova Natalja
Zbrutsky Alexander
Koshevoy Nicolay
10.1 Introduction
242(2)
10.2 Results of Study of Dynamics and Control of Autonomous Mobile Robots
244(12)
10.2.1 Problem Statement
244(2)
10.2.2 Design of an Autonomous Mobile Robot with a Manipulator
246(1)
10.2.3 Dynamics Analysis
247(6)
10.2.4 Analysis of AMR with M Controllability
253(3)
10.3 Conclusion
256(5)
Acknowledgments
257(1)
References
257(4)
11 Safe Navigation of an Autonomous Robot in Dynamic and Unknown Environments
261(28)
Yuriy P. Kondratenko
Arash Roshanineshat
Dan Simon
11.1 Introduction
262(1)
11.2 Related Works
263(4)
11.3 Problem Statement
267(2)
11.4 Fuzzy based Path Planning
269(6)
11.5 Adjusting Speed
275(1)
11.6 Experiments and Evaluations
275(2)
11.7 Conclusion
277(12)
Acknowledgments
278(1)
References
278(11)
12 Algorithmic Procedures Synthesis of Robust-Optimal Control for Moving Objects
289(36)
V. L. Timchenko
D.O. Lebedev
12.1 Introduction
290(4)
12.2 Problem Review
294(2)
12.3 Optimal Synthesis
296(9)
12.3.1 Optimal Trajectory Planning
297(5)
12.3.2 Determining Switching Moments of Control Functions in the Feedback Loops
302(1)
12.3.3 Synthesizing Optimal Control Functions in the Corresponding Feedback Loops
302(3)
12.4 Robust Correction
305(4)
12.5 Experiments
309(8)
12.5.1 Sea Vessel Maneuvering
309(2)
12.5.2 Quadrotor UAV Stabilization
311(6)
12.6 Conclusion
317(8)
References
318(7)
Part III Recent Developments in Collaborative Automation
325(120)
13 Modeling of Cyber--Physical Systems
327(28)
Illya Holovatenko
Andrii Pysarenko
13.1 Introduction
327(1)
13.2 Review of Modeling Methods for Cyber--Physical Systems
328(7)
13.3 Problem Formulation
335(1)
13.4 Building Models of a Logistic Cyber--Physical System
336(9)
13.5 Simulation Results
345(6)
13.6 Conclusion
351(4)
References
352(3)
14 Reliability Control of Technical Systems based on Canonical Decomposition of Random Sequences
355(24)
I. Atamanyuk
Y. Kondratenko
M. Solesvik
14.1 Introduction
356(1)
14.2 Problem Statement
357(1)
14.3 Solution
357(17)
14.3.1 Forecasting the State of Control Objects
357(13)
14.3.2 Identification of Random Sequences Model's Parameters based on Statistical Goodness-of-fit Tests
370(3)
14.3.3 Method of Reliability Control of Technical Objects
373(1)
14.4 Conclusion
374(5)
References
374(5)
15 Petunin Ellipsoids in Automatic Control Systems Design
379(20)
D.A. Klyushin
S.I. Lyashko
A.A. Tymoshenko
15.1 Introduction
380(1)
15.2 Petunin Ellipses and Their Statistical Properties
381(13)
15.2.1 Petunin Ellipse and Ellipsoids
381(3)
15.2.2 Petunin Ellipses and Linear Constraints
384(1)
15.2.3 Statistical Properties of Petunin's Ellipses
385(1)
15.2.4 Numerical Experiments
386(3)
15.2.5 Prediction Sets
389(1)
15.2.6 Hill's Assumption A{n)
389(2)
15.2.7 Testing Statistical Properties for Petunin Ellipses
391(3)
15.3 Conclusion
394(5)
References
394(5)
16 On Real-Time Calculation of the Rejected Takeoff Distance
399(14)
V.I. Vyshenskyy
A. A. Belousov
V.V. Kuleshyn
16.1 Introduction
400(1)
16.2 Dynamic Model of Aircraft Movement along the Runway
401(1)
16.3 Analytical Solution of the Aircraft Motion Equation
402(1)
16.4 Engine Thrust Modelling During Switching off and Reverse
402(2)
16.5 Rejected Takeoff Distance Calculation
404(2)
16.6 Interpolation of Aircraft Parameters using Constant Values
406(1)
16.7 Estimation of Speed, Path and Time using Fixed Parameters of the Aircraft
407(1)
16.8 Computer Simulation
408(3)
16.9 Emulation Results
411(2)
16 lOModel Verification
413(4)
16.11 Conclusion
413(4)
References
414(3)
17 Automated Control Problem for Dynamic Processes Applied to Cryptocurrency in Financial Markets
417(28)
Viktor Romanenko
Yurii Miliavskyi
Heorhii Kantsedal
17.1 Introduction
418(1)
17.1.1 Problem Statement
419(1)
17.2 Cognitive Mapping of Cryptocurrency Usage in Financial Markets
419(4)
17.3 Design of Unstable Cryptocurrency Rate Stabilization System
423(4)
17.3.1 Experimental Study of the Stabilization System of Unstable Cryptocurrency Rate
424(3)
17.4 The Problem of Constrained Internal and External Disturbances Suppression in Control of the Cryptocurrency CM Impulse Process
427(7)
17.4.1 Algorithm for the State Controller Design for the CM Impulse Process
432(1)
17.4.2 Experimental Study of the System of Constrained Internal and External Disturbances Suppression in the Cryptocurrency CM Impulse Process Control
433(1)
17.5 The Problem of Stabilizing the Coordinates of Cryptocurrency CM Nodes at Given Levels Based on Varying of Edge Weights and Nodes Coordinates
434(6)
17.5.1 Design of a Discrete Controller
437(2)
17.5.2 Experimental Studies of the Stabilization of Cryptocurrency CM Nodes Coordinates at Given Levels
439(1)
17.6 Design of a System for Identifying CM Weighting Coefficients Based on Recurrent Least Squares Method
440(2)
17.7 Conclusion
442(3)
References
442(3)
Index 445(4)
About the Editors 449
Yuriy P. Kondratenko, Doctor of Science (habil.), Professor, Honour Inventor of Ukraine (2008), Corr. Academician of Royal European Academy of Doctors - Barcelona1914 (2000), Head of Intelligent Information Systems Department at Petro Mohyla Black Sea National University, Ukraine. He has received a Ph.D. (1983) and a Dr.Sc. (1994) in Computer and Control Systems from Odessa National Polytechnic University. He received several international grants and scholarships for conducting research at Institute of Automation of Chongqing University, P.R.China (1988-1989), Ruhr-University Bochum, Germany (2000, 2010), Nazareth College and Cleveland State University, USA (2003). In 2015 he received Fulbright grant for conducting research during 9 months in USA (Cleveland State University, Department of Electrical Engineering and Computer Science). He is the regional coordinator of Tempus (Cabriolet) and Erasmus+ (Aliot) projects, principal researcher of several international research projects with Spain, Germany, P.R. of China et al. and author of more than 140 patents and 14 books (including edited monographs) published by Springer, River Publishers, World Scientific, Pergamon Press, Academic Verlag, etc. He is a member of the Scientific Committee of the National Council of Ukraine on Development of Science and Technology, National Committee of Ukrainian Association on Automatic Control, as well as GAMM, DAAAM, AMSE UAPL and PBD-Honor Society of International Scholars, visiting lecture at the universities in Rochester, Cleveland, Kassel, Vladivostok and Warsaw. He is a member of Editorial Boards of such journals as Journal of Automation and Information Sciences, International Journal of Computing, Eastern European Journal of Enterprise Technologies, International Research and Review: Journal of Phi Beta Delta, Quantitative Methods n Economics and others. His research interests include intelligent decision support systems, automation, sensors and control systems, fuzzy logic, soft computing, modelling and simulation, robotics, elements and devices of computing systems.

Vsevolod M. Kuntsevich, PhD (1959), D.Sci.(1965), Professor (1967), Academician of the National Academy of Sciences of Ukraine (1992), Honorary Director of Space Research Institute of NASU, Kyiv, Ukraine. Honored Figure of Science and Technology of Ukraine (1999), laureate of the State Prize of the Ukrainian SSR (1978, 1991) and Ukraine (2000) in the field of science and technology, S. Lebedev Award (1987), V. Glushkov Award (1995), V. Mikhalevich Award (2003). Graduated from Kyiv Polytechnic Institute (1952). Worked at the Institute of Electrical Engineering (1958-63), Institute of Cybernetics (1963-96), Space Research Institute (from 1996). He enters in editorial staff of several journals such as Journal of Automation and Information Sciences, Cybernetics and Systems Analysis. The founder of the national school in the field of discrete control systems, he made a significant contribution to the development of modern theory of adaptive and robust control under uncertainty. The author of 8 books and over 250 articles. The Chairman of the National Committee of Ukrainian Association on Automatic Control (NMO of IFAC).

Arkadii A. Chikrii, PhD (1972), D.Sci. (1979), Professor (1989), Academician of the National Academy of Sciences of Ukraine (2018), Head of the department "Optimization of Controlled Processes" of the Institute of Cybernetics, NAS of Ukraine. Laureate of the State Prize of Ukraine in the field of science and technology (1999), Glushkov Award (2003), Laureate of the State Prize of Ukraine in the field of education (2018). After graduation from Ivan Franko Lviv University (1968) has been working at the Institute of Cybernetics. Professor of Taras Shevchenko Kyiv National University, Professor of Ihor Sykorski National Technical University, Professor of Yurij Fedkovich Chernivtsi National University. Editor-in-chief of the journal ""Problemy Upravleniya I Informatiki"" published in English in the USA under the title "Journal of Automation and Information Sciences" (since 2020). Specialist in the field of applied nonlinear analysis, theory of extremal problems, mathematical theory of control, theory of dynamic games, theory of search for moving objects, and computer technologies for analysis of conflict situations. The disciple and follower of L.S. Pontryagin, N.N. Krasovskii and B.N. Pshenichnyi. The author of 6 books and over 550 articles.

Vyacheslav F. Gubarev, Doctor of Science (1992), Professor, Corresponding member National Academy of Science of Ukraine (2006), Professor of Mathematic Methods of System Analysis Department, Kiev National Technical University, Ukraine, Head of Control Department, Space Research Institute, National Academy of Science, Ukraine. He has received a Ph.D. (1971) and a Dr.Sc. (1992) in System Analysis and Automatic Control from Institute of Cybernetic National Academy of Science, Ukraine. He has taken part in several international grants with Russia Academy of Science, Moscow State University and others. His research interests include mathematical modelling of complex systems, automatic control, estimation and identification, ill-posed mathematical problems, dynamic and control under uncertainty, spacecraft control systems. He enters in editorial staff of several journals such as Journal of Automation and Information Sciences, Cybernetics and Systems Analysis. He is vice-chairman of Ukrainian Association of Automatic Control which is NMO of IFAC.