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Control Systems
In recent years, a considerable amount of effort has been devoted, both in industry and academia, towards the development of advanced methods of control theory with focus on its practical implementation in various fields of human activity such as space control, robotics, control applications in mari...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Aalborg :
River Publishers,
2018.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Preface xiii
- List of Contributors xix
- List of Figures xxiii
- List of Tables xxix
- List of Abbreviations xxxi
- PART I: Theory of Automatic Control 1 Estimation of Impact of Bounded Perturbations on Nonlinear Discrete Systems 3 Vsevolod M. Kuntsevich 1.1 Introduction 3
- 1.2 Interval Invariant Sets of Nonlinear Control Systems with Linear Constraints 4
- 1.3 Invariant Sets of Systems with Two-Sided Nonlinear Constraints 9
- 1.4 Invariant Sets of Systems with Norm-Based Estimates of Nonlinear Functions 12
- 1.5 Conclusion 14
- References 14
- 2 Control of Moving Objects in Condition of Conflict 17 Arkadii A. Chikrii 2.1 Introduction 17
- 2.2 Formulation of the Problem: Scheme of the Method 18
- 2.3 Game Problems for Fractional Systems 25
- 2.4 Fractional Conflict-Controlled Processes with Integral Block of Control 31
- 2.5 Specific Case of Simple Matrix 33
- 2.6 Conclusion 40
- References 40
- 3 Identification and Control Automation of Cognitive Maps in Impulse Process Mode 43 Vyacheslav Gubarev, Victor Romanenko and Yurii Miliavskyi 3.1 Introduction 43
- 3.2 Cognitive Maps Identification with Full Information 46
- 3.2.1 Parametric Identification in Deterministic Case 46
- 3.2.2 Identification in Case with Noise 48
- 3.2.2.1 Combinatorial method of solution 48
- 3.2.2.2 Identification problem solution with least squares method 51
- 3.2.2.3 Regularized solution of the identification problem 52
- 3.3 Control Automation in Cognitive Maps in Impulse Process Mode 53
- 3.4 Experimental Research 55
- 3.4.1 Research of the Algorithms of CM Incidence Matrix Identification 55
- 3.4.2 Automating Control of Impulse Processes in CM of Human Resources Management in IT Company 59
- 3.5 Conclusion 62
- References 63
- 4 Decentralized Guaranteed Cost Inventory Control of Supply Networks with Uncertain Delays 65 Leonid M. Lyubchyk and Yuri I. Dorofieiev 4.1 Introduction 66
- 4.2 Problem Statement 69
- 4.3 Descriptor Transformation of Supply Network Model 75. 4.4 Construction of Delay-Dependent Lyapunov-Krasovskii Functional 77
- 4.5 Guaranteed Cost Inventory Control Based on Invariant Ellipsoids Method 80
- 4.6 Synthesis of Guaranteed Cost Inventory Control 83
- 4.7 Stability Analysis of Controlled Supply Network 86
- 4.8 Numerical Example 89
- 4.9 Conclusion 93
- References 93
- 5 Application of a Special Method of Nondimensionization in the Solution of Nonlinear Dynamics Problems 97 Maksym V. Maksymov, Olexander I. Brunetkin and Oksana B. Maksymova 5.1 Introduction 98
- 5.2 Models and Modeling 98
- 5.2.1 Method of Nondimensionization of Mathematical Models 98
- 5.2.1.1 Formulation of the problem 98
- 5.2.1.2 Purpose and objectives of the study 100
- 5.2.1.3 Scheme for ensuring self-similarity by criteria for models 100
- 5.2.1.4 Concept of the procedure of ensuring self-similarity by criteria 103
- 5.2.1.5 Physical modeling 110
- 5.2.1.6 Examples of reduction of models to a nondimensionized form in problems of technical systems dynamics 112
- 5.2.2 Examples of Using the Results of Reducing Models to a Nondimensionized Form 120
- 5.2.2.1 Compiling data when displaying solution results Non-stationary heat transfer 120
- 5.2.2.2 Approximate solution of nonlinear ordinary differential equations Solution method 131
- 5.3 Conclusion 139
- References 140
- PART II: Control Systems Applications 6 Energy Efficiency of Smart Control Based on Situational Models 145 Volodymyr M. Dubovoi and Mariya S. Yukhymchuk 6.1 Introduction 145
- 6.2 Situation-Event Graph Model 149
- 6.3 Energy Loss Model 151
- 6.3.1 Formalizing of the Criterion of Energy Efficiency of Smart Control on the Basis of Situational Models 151
- 6.3.2 Development of the Method for Simulation of Systems with Smart Control Based on Situational Models in Conditions of Combined Uncertainty of the Initial Information 154
- 6.3.3 Development of an Algorithm for Estimating the Energy Efficiency of Situational Model-Based Smart Control 160
- 6.3.4 Experimental Investigations of Developed Model 161. 6.4 Analysis of Simulation Results 163
- 6.5 Conclusion 164
- References 164
- 7 Ellipsoidal Pose Estimation of an Uncooperative Spacecraft from Video Image Data 169 Vyacheslav F. Gubarev, Nikolay N. Salnikov and Serhii V. Melnychuk 7.1 Introduction 169
- 7.2 Relative Pose Determination 171
- 7.3 Position and Attitude Determination by Learning 173
- 7.4 Informative Features of Image 175
- 7.5 Estimation Problem Statement 178
- 7.6 Method of Nonlinear Ellipsoidal Filtration 182
- 7.7 Estimation of Target Attitude and Angular Velocity 185
- 7.8 Numerical Simulation 188
- 7.9 Conclusion 191
- References 192
- 8 Fuzzy Controllers for Increasing Efficiency of the Floating Dock's Operations: Design and Optimization 197 Yuriy P. Kondratenko, Oleksiy V. Kozlov and Andriy M. Topalov 8.1 Introduction 198
- 8.2 Design Features of the Automatic Control Systems of the Floating Docks Main Operations 200
- 8.3 Combined Design Approach of the FCs for the ACSs of the Floating Docks Main Operations 205
- 8.4 Design of the FC for the Draft ACS of the Floating Dock for Low-Tonnage Vessels 212
- 8.5 Conclusion 225
- References 226
- 9 Efficiency Control for Multi-assortment Production Processes Taking into Account Uncertainties and Risks 233 Anatoliy Ladaniuk, Viacheslav Ivashchuk and Jaroslav Smityukh 9.1 Introduction 234
- 9.2 Decision-Making Under Uncertainty 236
- 9.3 The Estimation of Stability and Accuracy of Presented Solutions 238
- 9.4 Conclusion 241
- References 241
- 10 On the Coordinate Determination of Space Images by Orbital Data 245 Dmitriy V. Lebedev 10.1 Introduction 245
- 10.2 Systems of Coordinates. Problem Statement of In-flight Calibration 247
- 10.3 Coordinate Binding of Space Images 249
- 10.3.1 Estimation of the Point Landmark Coordinates by Stereoshooting Results 250
- 10.3.2 Geo-referencing of Frame Elements 251
- 10.4 Factors Affecting the Accuracy of the Images Coordinate Reference. Assessment of the Accuracy of the Binding 253. 10.5 Algorithms of In-flight Geometric Calibration 255
- 10.5.1 Calibration Algorithms Based on Photogrammetric Equations 255
- 10.5.1.1 Algorithm 1 256
- 10.5.1.2 Algorithm 2 257
- 10.5.2 Calibration for a Priori Unknown Point Landmarks 257
- 10.5.3 Calibration Using a Virtual Reference System 259
- 10.5.4 Reduction of the Flight Calibration Algorithm 261
- 10.6 Modeling of Algorithms of Calibration and Topographic Binding 262
- 10.6.1 Calibration Algorithms 1 and 2 264
- 10.6.2 Calibration of Algorithms B and R 265
- 10.7 Conclusion 267
- References 268
- 11 Algorithms of Robotic Electrotechnical Complex Control in Agricultural Production 271 Vitaliy Lysenko, Igor Bolbot, Yuriy Romasevych, Viatcheslav Loveykin and Valeriy Voytiuk 11.1 Introduction 271
- 11.2 An Overview of Recent Findings 272
- 11.3 The Purpose of the Research 273
- 11.4 Statement of Basic Materials 273
- 11.4.1 Development of Upper-Level Control Algorithms 273
- 11.4.2 Development of Control Algorithms at the Lower Level 283
- 11.5 Conclusion 288
- References 288
- 12 Information Support of Some Automated Systems of Remote Monitoring of Planted Areas State 291 Vitaliy Lysenko, Serhii Shvorov, Oleksii Opryshko, Natalia Pasichnyk and Dmytro Komarchuk 12.1 Introduction 292
- 12.2 Formulation of the Problem.
- Scheme of the Method 293
- 12.2.1 Investigated Objects 293
- 12.2.2 Hardware for Spectral Monitoring 294
- 12.3 Obtained Results and Discussion 297
- 12.3.1 Continuous Sowing Crops
- Wheat 297
- 12.3.2 Growing Crops 300
- 12.3.3 Determination of Optimal Movement Routes for Harvesters to Harvest Energy Crops and for Necessary Transport Equipment to Transport Them 302
- 12.4 Conclusion 309
- References 310
- 13 Synthesis of an Optimal Combined Multivariable Stabilization System for Adsorption Process Control 315 Sergey Osadchy, Valentina Zubenko and Marja Yakoreva 13.1 Introduction 315
- 13.2 Optimal Stabilization System Synthesis Problem Formulation 316. 13.3 Justification of Choice and Description of the Algorithm for Optimal Systems Synthesis 319
- 13.4 Optimal Combined Stabilization System's Synthesis 321
- 13.5 Conclusion 323
- References 324
- Index 325
- About the Editors 327.