Advanced Control Systems : Theory and Applications / Yuriy P. Kondratenko [and three others].

Format:

Book

Contributor:

Kondratenko, Yuriy P., editor.

Series:

River Publishers series in automation, control and robotics.

River Publishers series in automation, control and robotics

Language:

English

Subjects (All):

Control theory.

Physical Description:

1 online resource (478 pages)

Edition:

First edition.

Place of Publication:

Gistrup, Denmark : River Publishers, [2021]

Summary:

Advanced Control Systems: Theory and Applicationsprovides an overview of advanced research lines in control systems as well as in design, development and implementation methodologies for perspective control systems and their components in different areas of industrial and special applications.

Contents:

Cover

Half Title

Series Page

Title Page

Copyright Page

Table of Contents

Preface

List of Contributors

List of Figures

List of Tables

List of Abbreviations

I: Advances in Theoretical Research on Automatic Control

1: On Descriptor Control Impulsive Delay Systems that Arise in Lumped-Distributed Circuits

1.1 Introduction

1.2 Example of Descriptor Control System

1.3 Restrictions, Definitions, and States of System

1.4 A Nonlinear Circuit with Transmission Lines in the Presence of Pulse Perturbations

1.5 Conclusion

2: An Extremal Routing Problem with Constraints and Complicated Cost Functions

2.1 Introduction

2.2 General Notions and Designations

2.3 General Routing Problem and Its Specific Variant

2.4 Dynamic Programming, 1

2.5 Dynamic Programming, 2

2.6 Computational Experiment

2.7 Conclusion

2.8 Acknowledgment

3: Principle of Time Stretching for Motion Control in Condition of Conflict

3.1 Introduction

3.2 Equivalence of the Pursuit Game with Delay of Information to the Game with Complete Information

3.3 Principle of Time Stretching in Dynamic Games of Pursuit

3.4 Integro-Differential Game of Pursuit

3.5 Illustrative Example of the Integro-Differential Game of Pursuit

3.6 Soft Meeting of Mathematical Pendulums

3.7 Conclusion

4: Bio-Inspired Algorithms for Optimization of Fuzzy Control Systems: Comparative Analysis

4.1 Introduction

4.2 Related Works and Problem Statement

4.3 Bio-inspired Algorithms of Synthesis and Optimization of Rule Bases for Fuzzy Control Systems

4.3.1 ACO Algorithm for Synthesis and Optimization of Rule Bases for the Mamdani-Type FACS

4.3.2 Genetic Algorithm for Synthesis and Optimization of Rule Bases for the Mamdani-Type FACS.

4.3.3 Algorithm of Automatic Rule Base Synthesis for the Mamdani-Type FACS Based on Sequential Search

4.4 Development of the Rule Base of the Fuzzy ControlSystem for the Multipurpose Mobile Robot

4.5 Conclusion

5: Inverse Model Approach to Disturbance Rejection Problem

5.1 Introduction

5.2 Disturbance Rejection via Inverse Model Control

5.2.1 Inverse Model Control Principle

5.2.2 Inverse Model Design

5.2.3 Inverse Model Based Feedforward Control

5.2.4 Inverse Model Based Disturbance Observer

5.2.5 Disturbance Decoupling Compensator Design

5.3 Sliding Mode Inverse Model Control

5.3.1 Sliding Mode Equivalence Principle

5.3.2 Variable Structure Feedforward Compensator

5.3.3 Variable Structure Disturbance Observer

5.4 Discrete Inverse Model Control

5.4.1 Problem Statement

5.4.2 Discrete Disturbance Observer

5.4.3 Disturbance Observer Parameterization

5.4.4 Disturbance Compensator Structural Synthesis

5.4.5 Disturbance Compensator Parametric Synthesis

5.5 Conclusion

6: Invariant Relations in the Theory of Optimally Controlled Systems

6.1 Introduction

6.2 The Problems of Price-Target Invariance in the Theory of Optimal Control

6.3 The Problems of Using Singular Controls in Rocket Flight Mechanics

6.3.1 Power Consumption in Degeneracy of the Optimal Control of Rocket Thrust in Atmosphere

6.3.2 Necessary Conditions for the Optimality of a Singular Control

6.3.3 The Problem of Calculating Optimal Trajectories With Singular Arcs

6.4 Addition to the Feldbaum Theorem on Number of Switching

6.5 Investigation of the Invariance in the Modeling of Functioning in Living Nature

6.5.1 Statement of the Anokhin Problem

6.5.2 Solution of the Anokhin Problem

6.5.3 Features of Expediently Functioning Objects with Redundant Control.

6.5.4 Structure of the Controlling System of an Expediently Functioning Object

6.5.5 Hierarchy and Invariance of Expediently Controlled System

6.6 Investigation Analysis of Results

6.6.1 Mathematical Modeling - A Tool for Research of Complex Systems

6.6.2 Optimality and Evolution Selection

6.6.3 Hierarchy and Invariance of Expediently Controlled System

6.7 Optimal Control Theory as a Tool for Cognition

6.8 Is Teleology Theological?

6.9 Acknowledgment

7: Robust Adaptive Controls for a Class of Nonsquare Memoryless Systems

7.1 Introduction

7.2 Problem Formulation

7.3 Background on Pseudoinverse Model-Based Method

7.4 Robust Adaptive Pseudoinverse Model-Based Controllers for SIMO systems

7.5 Robust Adaptive Pseudoinverse Model-Based Control of MIMO System

7.6 Conclusion

II: Advances in Control Systems Applications

8: Advanced Identification of Impulse Processes in Cognitive Maps

8.1 Introduction

8.2 Problem Statement

8.3 CM Identification Features

8.4 Subspace Identification with Regularization

8.4.1 Identification for Given Model Dimension

8.4.2 Model Dimension Determination

8.5 Advanced Subspace Identification

8.6 Example

8.7 Conclusion

9: Strategy for Simulation Complex Hierarchical Systems Based on the Methodologies of Foresight and Cognitive Modeling

9.1 Introduction

9.2 Theoretical Foundation of Foresight and Cognitive Modeling Methodologies

9.2.1 Foresight Methodology of Complex System

9.2.2 Methodology of Cognitive Modeling of Complex Systems

9.2.3 Relationship of the Education System with the Socio-Economic Environment

9.3 Conclusion

9.4 Acknowledgment

10: Special Cases in Determining the Spacecraft Position and Attitude Using Computer Vision System

10.1 Introduction

10.2 PnP Problem Statement

10.3 PnP Problem Under Uncertainty.

10.4 Rotation Parameterization

10.5 Sensitivity of Image

10.6 Estimating an Indistinguishable Set

10.7 Design of Experiment

10.8 Numerical Simulations

10.9 Conclusion

11: On Determining the Spacecraft Orientation by Information from a System of Stellar Sensors

11.1 Introduction

11.2 Systems of Coordinates: Formulation of the Problem

11.3 Correspondence of Three-Dimensional and Four-Dimensional Parameters of a Group of Three-Dimensional Rotations

11.4 Algorithms for Determining the Orientation Parameters of the Spacecraft

11.5 Accuracy Analysis of Determining the Parameters of the SC Orientation

11.6 Effect of Satellite Initial Orientation Error on the Accuracy of Determining Its Current Orientation

11.7 Conclusion

12: Control Synthesis of Rotational and Spatial Spacecraft Motion at ApproachingStage of Docking

12.1 Introduction

12.2 Equation of the Spacecraft Relative Motion in the Docking Stage

12.2.1 Equation of the Relative Motion of the Spacecraft Center of Mass

12.2.2 Equation of the Spacecraft Relative Angular Motion

12.2.3 Control Problem Statement at the Docking Stage

12.3 Parameter Estimation of the PSC Rotational Motion

12.3.1 Problem Statement of the Angular Motion Parameters Estimation

12.3.2 Non-Linear Ellipsoidal Estimation Method

12.3.3 Estimation of the Quaternion, Angular Velocity, and Ratios of Inertia Moments

12.3.4 Numerical Simulation of the Estimation Algorithm

12.4 Synthesis of Spacecraft Motion Control at Docking

12.4.1 Synthesis of Motion Control of the Center of Mass of Active Spacecraft

12.4.2 Synthesis of Spacecraft Angular Motion Control

12.4.3 Computer Simulation of Control Algorithm

12.5 Conclusion

13: Intelligent Algorithms for the Automation of Complex Biotechnical Objects

13.1 Introduction.

13.2 Intelligent Automation Systems for Biotechnical Facilities

13.2.1 Traditional Automation Systems for Biotechnical Facilities and their Drawbacks

13.2.2 Synthesis of an Intelligent Control System Taking into Account the Forecasting of the Changes in Temperature Images in the Context of a Poultry House

13.2.3 Synthesis of the Intelligent Control System Taking into Account the Forecast of the External Natural Disturbances and Radiation in the Context of a Greenhouse

13.2.3.1 The Neural Network Forecasting of the External Natural Disturbances

13.2.3.2 The Intelligent Solar Radiation Forecasting System

13.3 Conclusion

14: Automatic Control for theSlow Pyrolysis of Organic Materials with Variable Composition

14.1 Introduction

14.2 Controlled Pyrolysis Model and Method

14.2.1 Problem Definition

14.2.2 Purpose and Objectives of the Research

14.2.3 Method of Problem Solving

14.2.3.1 Facility Scheme Selection

14.2.3.2 Control Object Model

14.2.3.3 Analysis of the Control Object Model to Solve the Control Task

14.2.3.4 Results of Pyrolysis Product Output Modeling

14.3 Synthesis of the Plant Control System to Produce Product-Gas

14.3.1 The Control Method of Pyrolysis Technology in the Plant

14.3.2 A Simulation Model of the Pyrolysis Plant Control System

14.3.3 Modeling Results of the Control Process by Pyrolysis Installation

14.4 Results and Discussion

14.5 Conclusion

Index

About the Editors.

Notes:

Includes index.

Includes bibliographical references and index.

Description based on print version record.

ISBN:

9781000797220

1000797228

9781003337010

1003337015

9781000794069

1000794067

9781523144372

1523144378

9788770223409

8770223408

OCLC:

1259322160