Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics 1st edition by Jing Na, Qiang Chen, Xuemei Ren – Ebook PDF Instant Download/DeliveryISBN: 0128136847, 9780128136843
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ISBN-10 : 0128136847
ISBN-13 : 9780128136843
Author: Jing Na, Qiang Chen, Xuemei Ren
Adaptive Identification and Control of Uncertain Systems with Nonsmooth Dynamics reports some of the latest research on modeling, identification and adaptive control for systems with nonsmooth dynamics (e.g., backlash, dead zone, friction, saturation, etc). The authors present recent research results for the modelling and control designs of uncertain systems with nonsmooth dynamics, such as friction, dead-zone, saturation and hysteresis, etc., with particular applications in servo systems. The book is organized into 19 chapters, distributed in five parts concerning the four types of nonsmooth characteristics, namely friction, dead-zone, saturation and hysteresis, respectively. Practical experiments are also included to validate and exemplify the proposed approaches.
Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics 1st Table of contents:
Part 1: Introduction
Introduction
1.1. Prologue
1.2. Objective of the Book
1.3. Book Outline
Part 2: Modeling and Control of Uncertain Systems With Friction
Chapter 1: Friction Dynamics and Modeling
Abstract
1.1. Introduction
1.2. Friction Dynamics and Models
1.3. Conclusion
References
Chapter 2: Adaptive Sliding Mode Control of Non-linear Servo Systems With LuGre Friction Model
Abstract
2.1. Introduction
2.2. System Description and Problem Formulation
2.3. Offline Friction Identification
2.4. Controller Design and Stability Analysis
2.5. Simulations
2.6. Conclusion
References
Chapter 3: Adaptive Dynamic Surface Control of Two-Inertia Systems With LuGre Friction Model
Abstract
3.1. Introduction
3.2. Problem Formulation and Preliminaries
3.3. Controller Design and Stability Analysis
3.4. Simulation and Experiment
3.5. Conclusion
References
Chapter 4: Adaptive Prescribed Performance Control of Servo Systems With Continuously Differentiable Friction Model
Abstract
4.1. Introduction
4.2. Problem Formulation and Preliminaries
4.3. Adaptive Prescribed Performance Control Design
4.4. Experimental Validation
4.5. Conclusion
References
Chapter 5: RISE Based Asymptotic Prescribed Performance Control of Servo Systems With Continuously Differentiable Friction Model
Abstract
5.1. Introduction
5.2. Problem Formulation and Preliminaries
5.3. RISE Based Adaptive Control Design and Analysis
5.4. Experimental Validation
5.5. Conclusion
References
Chapter 6: Adaptive Control for Manipulation Systems With Discontinuous Piecewise Parametric Friction Model
Abstract
6.1. Introduction
6.2. System Dynamics and Problem Statement
6.3. Modeling and Identification of Friction
6.4. Adaptive Control With Friction Compensation and Stability Analysis
6.5. Simulations
6.6. Conclusion
References
Part 3: Modeling and Control of Uncertain Systems With Input Dead-Zone
Chapter 7: Dead-Zone Dynamics and Modeling
Abstract
7.1. Introduction
7.2. Dead-Zone Models
7.3. Examples With Dead-Zone
7.4. Conclusion
References
Chapter 8: Adaptive Finite-Time Neural Control of Servo Systems With Non-linear Dead-Zone
Abstract
8.1. Introduction
8.2. Problem Formulation and Preliminaries
8.3. Adaptive Finite-Time Control Design and Stability Analysis
8.4. Experimental Validation
8.5. Conclusion
References
Chapter 9: Adaptive Neural Dynamic Surface Control of Strict-Feedback Systems With Non-linear Dead-Zone
Abstract
9.1. Introduction
9.2. Problem Formulation and Preliminaries
9.3. Control Design and Stability Analysis
9.4. Simulations
9.5. Conclusion
References
Chapter 10: Adaptive Prescribed Performance Control of Strict-Feedback Systems With Non-linear Dead-Zone
Abstract
10.1. Introduction
10.2. Problem Formulation and Preliminaries
10.3. Control Design and Stability Analysis
10.4. Simulations
10.5. Conclusion
References
Chapter 11: Adaptive Dynamic Surface Output Feedback Control of Pure-Feedback Systems With Non-linear Dead-Zone
Abstract
11.1. Introduction
11.2. Problem Formulation and Preliminaries
11.3. Coordinate Transformation and Observer Design
11.4. Control Design and Stability Analysis
11.5. Simulations
11.6. Conclusion
References
Part 4: Modeling and Control of Uncertain Systems With Saturation
Chapter 12: Saturation Dynamics and Modeling
Abstract
12.1. Introduction
12.2. Saturation Dynamics
12.3. Saturation Approximation
12.4. Examples With Saturations
12.5. Conclusion
References
Chapter 13: ESO Based Adaptive Sliding Mode Control of Servo Systems With Input Saturation
Abstract
13.1. Introduction
13.2. System Description and Saturation Model
13.3. Adaptive Sliding Mode Control Design and Stability Analysis
13.4. Simulations
13.5. Conclusion
References
Chapter 14: Non-singular Terminal Sliding Mode Funnel Control of Servo Systems With Input Saturation
Abstract
14.1. Introduction
14.2. Problem Formulation and Preliminaries
14.3. Non-singular Terminal Sliding Mode Funnel Control
14.4. Simulations
14.5. Conclusion
References
Chapter 15: Adaptive Neural Dynamic Surface Control for Pure-Feedback Systems With Input Saturation
Abstract
15.1. Introduction
15.2. Problem Formulation and Preliminaries
15.3. Sliding Mode Dynamic Surface Control Design and Stability Analysis
15.4. Simulations
15.5. Conclusion
References
Part 5: Modeling and Control of Uncertain Systems With Hysteresis
Chapter 16: Hysteresis Dynamics and Modeling
Abstract
16.1. Introduction
16.2. Hysteresis Models
16.3. Examples With Hysteresis
16.4. Conclusion
References
Chapter 17: Identification and Inverse Model Based Control of Uncertain Systems With Backlash
Abstract
17.1. Introduction
17.2. System Description and Problem Formulation
17.3. System Identification With Unknown Backlash
17.4. Inverse Compensation Based Control Design and Stability Analysis
17.5. Simulations
17.6. Conclusion
References
Chapter 18: Identification and Control of Hammerstein Systems With Hysteresis Non-linearity
Abstract
18.1. Introduction
18.2. Problem Formulation
18.3. Identification of Hammerstein System With Hysteresis
18.4. Composite Control Design and Analysis
18.5. Simulations
18.6. Conclusion
References
Chapter 19: Adaptive Estimation and Control of Magneto-Rheological Damper for Semi-Active Suspensions
Abstract
19.1. Introduction
19.2. Modeling of Magneto-Rheological (MR) Damper
19.3. Adaptive Estimation and Control for Vehicle Suspension With MR Damper
19.4. Simulations
19.5. Conclusion
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