Parameter estimation and adaptive control for nonlinear servo systems /
Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification.This book offers a...
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| Outros autores: | , |
| Formato: | eBook |
| Idioma: | inglés |
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[S.l.] :
Academic Press,
2024.
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| Acceso en liña: | ScienceDirect |
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| 082 | 0 | 4 | |a 519.5/44 |2 23/eng/20240215 |1 https://id.oclc.org/worldcat/ddc/E3mYJWy6Q3vwkct8DBCpWbK8MV |
| 100 | 1 | |a Wang, Shubo. | |
| 245 | 1 | 0 | |a Parameter estimation and adaptive control for nonlinear servo systems / |c Shubo Wang, Jing Na and Xuemei Ren. |
| 260 | |a [S.l.] : |b Academic Press, |c 2024. | ||
| 300 | |a 1 online resource | ||
| 505 | 0 | |a Front Cover -- Parameter Estimation and Adaptive Control for Nonlinear Servo Systems -- Copyright -- Contents -- Acknowledgment -- Introduction -- 1 Introduction -- 2 Prologue -- 3 Objective of the book -- 4 Book outline -- I Modeling and control for servo systems with friction compensation -- 1 Neural network-based adaptive funnel sliding mode control for servo mechanisms with friction compensation -- 1.1 Introduction -- 1.2 Problem formulation -- 1.2.1 System model -- 1.2.2 Modified LuGre friction model -- 1.2.3 Neural networks (NNs) approximation -- 1.3 Controller design -- 1.3.1 Funnel control -- 1.3.2 Adaptive controller design -- 1.4 Stability analysis -- 1.5 Experimental results -- 1.5.1 Experimental setup -- 1.5.2 Implementation of proposed controller -- 1.6 Conclusion -- References -- 2 Robust adaptive tracking control for a servo mechanism with continuous friction compensation -- 2.1 Introduction -- 2.2 Problem formulation -- 2.2.1 Servo mechanism model -- 2.2.2 Friction model -- 2.3 Controller design -- 2.3.1 Robust controller design -- 2.3.2 Convergence analysis -- 2.4 Experimental results -- 2.4.1 Experiment setup -- 2.4.2 Implementation of proposed controller -- 2.4.3 Experiments results -- 2.5 Conclusion -- References -- II Modeling and control for servo systems with a dead-zone -- 3 Neural-network-based adaptive funnel control for servo mechanisms with unknown dead-zone -- 3.1 Introduction -- 3.2 Problem statement -- 3.2.1 System description -- 3.2.2 Funnel control -- 3.2.3 NN approximation -- 3.3 Control design and stability analysis -- 3.3.1 Finite-time command filter -- 3.3.2 AFC design -- 3.3.3 Stability analysis -- 3.3.4 Controller implementation -- 3.4 Experiment results -- 3.4.1 Experiment equipment -- 3.4.2 Servo system model -- 3.4.3 Controller design -- 3.5 Conclusion -- References. | |
| 505 | 8 | |a III Parameter estimation for servo systems with unknown parameters -- 4 Finite time parameter estimation-based adaptive predefined performance control for servo mechanisms -- 4.1 Introduction -- 4.2 Problem formulation -- 4.3 Adaptive funnel controller design -- 4.3.1 Funnel control -- 4.3.2 Adaptive funnel controller design -- 4.4 Online parameter estimation -- 4.5 Stability analysis -- 4.6 Simulation results -- 4.7 Experiment results -- 4.7.1 Experiment setup -- 4.7.2 Controller design -- 4.8 Conclusion -- References -- 5 Adaptive optimal parameter estimation and control of servo mechanisms: theory and experiments -- 5.1 Introduction -- 5.2 Dynamic model and problem formulation -- 5.3 Adaptive optimal parameter estimation -- 5.3.1 Filter design -- 5.3.2 Adaptive optimal parameter estimation -- 5.4 Adaptive sliding mode controller design -- 5.5 Stability analysis -- 5.6 Simulation results -- 5.7 Experiments -- 5.7.1 Experiment setup -- 5.7.2 Controller design -- 5.7.3 Experiment results -- 5.8 Conclusion -- References -- IV Disturbance rejection and control for servo systems -- 6 USDE-based sliding mode control for servo mechanisms with unknown system dynamics -- 6.1 Introduction -- 6.2 Problem formulation -- 6.3 Unknown system dynamics estimator (USDE) design -- 6.4 Controller design -- 6.4.1 New structural RL -- 6.4.2 Controller design -- 6.4.3 Stability analysis -- 6.5 Simulation -- 6.6 Experimental results -- 6.6.1 Experimental setup -- 6.6.2 Controller implementation -- 6.6.3 Experimental results -- 6.7 Conclusion -- References -- 7 Unknown input observer-based robust adaptive funnel motion control for nonlinear servo mechanisms -- 7.1 Introduction -- 7.2 Problem formulation -- 7.3 Controller design -- 7.3.1 Funnel control -- 7.3.2 Funnel nonsingular terminal sliding mode controller (FNTSMC) design -- 7.4 Unknown input observer design. | |
| 505 | 8 | |a 7.5 Stability analysis -- 7.6 Experimental studies -- 7.6.1 Experimental setup -- 7.6.2 Implementation of proposed controller -- 7.6.3 Tracking performance -- 7.6.4 Observer performance -- 7.6.5 Performance comparison with ESO and SMO -- 7.7 Conclusion -- References -- 8 Extended-state-observer based funnel control for nonlinear servo mechanisms with prescribed tracking performance -- 8.1 Introduction -- 8.2 Dynamic model and problem formulation -- 8.3 Extended state observer design -- 8.4 Funnel control and funnel variable -- 8.5 Controller design and stability analysis -- 8.5.1 Controller design -- 8.5.2 Stability analysis -- 8.6 Simulation results -- 8.7 Experimental validation -- 8.7.1 Experimental setup -- 8.7.2 Controller design -- 8.8 Conclusion -- References -- V Prescribed performance control for servo systems -- 9 Adaptive predefined performance sliding mode control of motor driving systems with disturbances -- 9.1 Introduction -- 9.2 Problem formulation -- 9.2.1 Dual-inertia system model -- 9.2.2 Tracking error transformation -- 9.3 Control design and analysis -- 9.3.1 Adaptive integral terminal sliding mode control -- 9.3.2 Convergence analysis -- 9.4 Experiments -- 9.4.1 Design of controllers -- 9.4.2 Experimental results -- 9.5 Conclusion -- References -- 10 Approximation-free control for nonlinear helicopters with unknown dynamics -- 10.1 Introduction -- 10.2 Preliminaries -- 10.3 Problem formulation -- 10.3.1 System dynamic model -- 10.3.2 Prescribed performance control -- 10.4 Approximation-free control design -- 10.4.1 Control design -- 10.4.2 Stability analysis -- 10.5 Simulations -- 10.6 Conclusion -- References -- VI Adaptive asymptotic tracking control for servo systems -- 11 RISE-based asymptotic prescribed performance tracking control of nonlinear servo mechanisms -- 11.1 Introduction. | |
| 505 | 8 | |a 11.2 Problem formulation and preliminaries -- 11.2.1 Dynamic model of servo mechanisms -- 11.2.2 Function approximation using ESN -- 11.2.3 Prescribed performance function -- 11.3 Controller design -- 11.3.1 Derivation of the filtered tracking error -- 11.3.2 Controller design -- 11.4 Stability analysis -- 11.5 Experimental results -- 11.5.1 Experimental setup -- 11.5.2 Controller design -- 11.5.3 Experimental results -- 11.6 Conclusion -- References -- 12 Funnel tracking control for nonlinear servo drive systems with unknown disturbances -- 12.1 Introduction -- 12.2 System model -- 12.3 Control development -- 12.3.1 Funnel control -- 12.3.2 Controller design -- 12.4 Convergence analysis -- 12.5 Practical implementation -- 12.6 Experiment verification -- 12.6.1 Experimental setup -- 12.6.2 Controller design -- 12.6.3 Practical results -- 12.7 Conclusion -- References -- 13 Asymptotic tracking control for nonaffine systems with disturbances -- 13.1 Introduction -- 13.2 Problem formulation -- 13.2.1 System model -- 13.2.2 Coordinate transform -- 13.2.3 Error transformation -- 13.3 Control design -- 13.3.1 Adaptive neural controller design -- 13.3.2 Convergence analysis -- 13.4 Experiment -- 13.5 Conclusion -- References -- Index -- Back Cover. | |
| 520 | |a Parameter Estimation and Adaptive Control for Nonlinear Servo Systems presents the latest advances in observer-based control design, focusing on adaptive control for nonlinear systems such as adaptive neural network control, adaptive parameter estimation, and system identification.This book offers an array of new real-world applications. | ||
| 650 | 0 | |a Parameter estimation. | |
| 650 | 0 | |a Adaptive control systems. | |
| 650 | 0 | |a Servomechanisms |x Control. | |
| 650 | 0 | |a Nonlinear systems. | |
| 650 | 6 | |a Estimation d'un paramètre. |0 (CaQQLa)201-0116120 | |
| 650 | 6 | |a Systèmes adaptatifs. |0 (CaQQLa)201-0010969 | |
| 650 | 6 | |a Systèmes non linéaires. |0 (CaQQLa)201-0282086 | |
| 650 | 6 | |a Servomécanismes |0 (CaQQLa)201-0028389 |x Lutte contre. |0 (CaQQLa)000275171 | |
| 650 | 7 | |a Adaptive control systems |2 fast |0 (OCoLC)fst00796490 | |
| 650 | 7 | |a Nonlinear systems |2 fast |0 (OCoLC)fst01038810 | |
| 650 | 7 | |a Parameter estimation |2 fast |0 (OCoLC)fst01052990 | |
| 700 | 1 | |a Na, Jing. | |
| 700 | 1 | |a Ren, Xuemei. | |
| 776 | 0 | 8 | |i Print version: |z 0443155747 |z 9780443155741 |w (OCoLC)1391434227 |
| 856 | 4 | 0 | |3 ScienceDirect |u https://www.sciencedirect.com/science/book/9780443155741 |