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Model free adaptive control : theory and applications /
This book summarizes theory and applications of model-free adaptive control (MFAC), which is a pure data-driven model-free control method, and whose controller design and stability analysis merely depend on the measured input and output data of the controlled plants. Topics include: pseudo partial d...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
©2014.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Hou, Zhongsheng. | |
| 245 | 1 | 0 | |a Model free adaptive control : |b theory and applications / |c Zhongsheng Hou, Shangtai Jin. |
| 260 | |a Boca Raton, FL : |b CRC Press, |c ©2014. | ||
| 300 | |a 1 online resource (xxiv, 352 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references (pages 337-352). | ||
| 520 | |a This book summarizes theory and applications of model-free adaptive control (MFAC), which is a pure data-driven model-free control method, and whose controller design and stability analysis merely depend on the measured input and output data of the controlled plants. Topics include: pseudo partial derivative, pseudo gradient, pseudo Jacobian matrix, and generalized Lipschitz conditions, etc.; dynamic linearization approaches for nonlinear systems, such as compact-form dynamic linearization, partial-form dynamic linearization, and full-form dynamic linearization; a series of control system design methods, including MFAC prototype, model-free adaptive predictive control, model-free adaptive iterative learning control, and the corresponding stability analysis and typical applications in practice. The book provides results that are rigorously proved and accompanied by examples with numerical simulations or experiments. -- |c Edited summary from book. | ||
| 505 | 0 | 0 | |g 1 |t Introduction |g 1 -- |g 1.1 |t Model-Based Control |g 1 -- |g 1.1.1 |t Modeling and Identification |g 1 -- |g 1.1.2 |t Model-Based Controller Design |g 3 -- |g 1.2 |t Data-Driven Control |g 5 -- |g 1.2.1 |t Definition and Motivation of Data-Driven Control |g 6 -- |g 1.2.2 |t Object of Data-Driven Control Methods |g 7 -- |g 1.2.3 |t Necessity of Data-Driven Control Theory and Methods |g 8 -- |g 1.2.4 |t Brief Survey on Data-Driven Control Methods |g 10 -- |g 1.2.4.1 |t DDC Classification According to Data Usage |g 10 -- |g 1.2.4.2 |t DDC Classification According to Controller Structure Design |g 14 -- |g 1.2.5 |t Summary of Data-Driven Control Methods |g 15 -- |g 1.3 |t Preview of the Book |g 17 -- |g 2 |t Recursive Parameter Estimation for Discrete-Time Systems |g 19 -- |g 2.1 |t Introduction |g 19 -- |g 2.2 |t Parameter Estimation Algorithm for Linearly Parameterized Systems |g 20 -- |g 2.2.1 |t Projection Algorithm |g 21 -- |g 2.2.2 |t Least-Squares Algorithm |g 22 -- |g 2.2.2.1 |t Least-Squares Algorithm for Time-Invariant Parameter Estimation |g 22 -- |g 2.2.2.2 |t Modified Least-Squares Algorithm for Time-Varying Parameter Estimation |g 24 -- |g 2.3 |t Parameter Estimation Algorithm for Nonlinearly Parameterized Systems |g 27 -- |g 2.3.1 |t Projection Algorithm and Its Modified Form for Nonlinearly Parameterized Systems |g 27 -- |g 2.3.1.1 |t Existing Projection Algorithm |g 27 -- |g 2.3.1.2 |t Modified Projection Algorithm |g 28 -- |g 2.3.2 |t Least-Squares Algorithm and Its Modified Form for Nonlinearly Parameterized Systems |g 32 -- |g 2.3.2.1 |t Existing Least-Squares Algorithm |g 32 -- |g 2.3.2.2 |t Modified Least-Squares Algorithm |g 34 -- |g 2.4 |t Conclusions |g 44 -- |g 3 |t Dynamic Linearization Approach of Discrete-Time Nonlinear Systems |g 45 -- |g 3.1 |t Introduction |g 45 -- |g 3.2 |t SISO Discrete-Time Nonlinear Systems |g 47 -- |g 3.2.1 |t Compact Form Dynamic Linearization |g 47 -- |g 3.2.2 |t Partial Form Dynamic Linearization |g 53 -- |g 3.2.3 |t Full Form Dynamic Linearization |g 59 -- |g 3.3 |t MIMO Discrete-Time Nonlinear Systems |g 64 -- |g 3.3.1 |t Compact Form Dynamic Linearization |g 64 -- |g 3.3.2 |t Partial Form Dynamic Linearization |g 66 -- |g 3.3.3 |t Full Form Dynamic Linearization |g 69 -- |g 3.4 |t Conclusions |g 71 -- |g 4 |t Model-Free Adaptive Control of SISO Discrete-Time Nonlinear Systems |g 75 -- |g 4.1 |t Introduction |g 75 -- |g 4.2 |t CFDL Data Model Based MFAC |g 77 -- |g 4.2.1 |t Control System Design |g 77 -- |g 4.2.1.1 |t Controller Algorithm |g 77 -- |g 4.2.1.2 |t PPD Estimation Algorithm |g 78 -- |g 4.2.1.3 |t System Control Scheme |g 79 -- |g 4.2.2 |t Stability Analysis |g 80 -- |g 4.2.3 |t Simulation Results |g 87 -- |g 4.3 |t PFDL Data Model Based MFAC |g 93 -- |g 4.3.1 |t Control System Design |g 93 -- |g 4.3.1.1 |t Controller Algorithm |g 94 -- |g 4.3.1.2 |t PG Estimation Algorithm |g 94 -- |g 4.3.1.3 |t System Control Scheme |g 95 -- |g 4.3.2 |t Stability Analysis |g 96 -- |g 4.3.3 |t Simulation Results |g 104 -- |g 4.4 |t FFDL Data Model Based MFAC |g 108 -- |g 4.4.1 |t Control System Design |g 108 -- |g 4.4.1.1 |t Controller Algorithm |g 110 -- |g 4.4.1.2 |t PG Estimation Algorithm |g 111 -- |g 4.4.1.3 |t System Control Scheme |g 111 -- |g 4.4.2 |t Simulation Results |g 113 -- |g 4.5 |t Conclusions H8 -- |g 5 |t Model-Free Adaptive Control of MIMO Discrete-Time Nonlinear Systems |g 119 -- |g 5.1 |t Introduction |g 119 -- |g 5.2 |t CFDL Data Model Based MFAC |g 120 -- |g 5.2.1 |t Control System Design |g 120 -- |g 5.2.1.1 |t Controller Algorithm |g 121 -- |g 5.2.1.2 |t PJM Estimation Algorithm |g 122 -- |g 5.2.1.3 |t System Control Scheme |g 123 -- |g 5.2.2 |t Stability Analysis |g 124 -- |g 5.2.3 |t Simulation Results |g 132 -- |g 5.3 |t PFDL Data Model Based MFAC |g 134 -- |g 5.3.1 |t Control System Design |g 134 -- |g 5.3.1.1 |t Controller Algorithm |g 136 -- |g 5.3.1.2 |t PPJM Estimation Algorithm |g 137 -- |g 5.3.1.3 |t System Control Scheme |g 138 -- |g 5.3.2 |t Stability Analysis |g 139 -- |g 5.3.3 |t Simulation Results |g 145 -- |g 5.4 |t FFDL Data Model Based MFAC |g 149 -- |g 5.4.1 |t Control System Design |g 149 -- |g 5.4.1.1 |t Controller Algorithm |g 150 -- |g 5.4.1.2 |t PPJM Estimation Algorithm |g 151 -- |g 5.4.1.3 |t System Control Scheme |g 152 -- |g 5.4.2 |t Simulation Results |g 153 -- |g 5.5 |t Conclusions |g 156 -- |g 6 |t Model-Free Adaptive Predictive Control |g 157 -- |g 6.1 |t Introduction |g 157 -- |g 6.2 |t CFDL Data Model Based MFAPC |g 158 -- |g 6.2.1 |t Control System Design |g 158 -- |g 6.2.1.1 |t Controller Algorithm |g 160 -- |g 6.2.1.2 |t PPD Estimation Algorithm and Prediction Algorithm |g 161 -- |g 6.2.1.3 |t Control Scheme |g 162 -- |g 6.2.2 |t Stability Analysis |g 164 -- |g 6.2.3 |t Simulation Results |g 167 -- |g 6.3 |t PFDL Data Model Based MFAPC |g 171 -- |g 6.3.1 |t Control System Design |g 171 -- |g 6.3.1.1 |t Controller Algorithm |g 174 -- |g 6.3.1.2 |t PG Estimation Algorithm and Prediction Algorithm |g 174 -- |g 6.3.1.3 |t Control Scheme |g 176 -- |g 6.3.2 |t Simulation Results |g 177 -- |g 6.4 |t FFDL Data Model Based MFAPC |g 182 -- |g 6.4.1 |t Control System Design |g 182 -- |g 6.4.1.1 |t Controller Algorithm |g 184 -- |g 6.4.1.2 |t PG Estimation Algorithm |g 185 -- |g 6.4.1.3 |t Control Scheme |g 186 -- |g 6.4.2 |t Simulation Results |g 188 -- |g 6.5 |t Conclusions |g 190 -- |g 7 |t Model-Free Adaptive Iterative Learning Control |g 193 -- |g 7.1 |t Introduction |g 193 -- |g 7.2 |t CFDL Data Model Based MFAILC |g 195 -- |g 7.2.1 |t CFDL Data Model in the Iteration Domain |g 195 -- |g 7.2.2 |t Control System Design |g 198 -- |g 7.2.2.1 |t Controller Algorithm |g 198 -- |g 7.2.2.2 |t PPD Iterative Updating Algorithm |g 199 -- |g 7.2.2.3 |t CFDL-MFAILC Scheme |g 199 -- |g 7.2.3 |t Convergence Analysis |g 200 -- |g 7.2.4 |t Simulation Results |g 204 -- |g 7.3 |t Conclusions |g 205 -- |g 8 |t Model-Free Adaptive Control for Complex Connected Systems and Modularized Controller Design |g 207 -- |g 8.1 |t Introduction |g 207 -- |g 8.2 |t MFAC for Complex Connected Systems |g 208 -- |g 8.2.1 |t Series Connection |g 209 -- |g 8.2.2 |t Parallel Connection |g 212 -- |g 8.2.3 |t Feedback Connection |g 214 -- |g 8.2.4 |t Complex Interconnection |g 217 -- |g 8.2.5 |t Simulation Results |g 219 -- |g 8.2.5.1 |t Series, Parallel, and Feedback Connection |g 219 -- |g 8.2.5.2 |t Complex Interconnection |g 220 -- |g 8.3 |t Modularized Controller Design |g 223 -- |g 8.3.1 |t Estimation-Type Control System Design |g 223 -- |g 8.3.2 |t Embedded-Type Control System Design |g 229 -- |g 8.3.2.1 |t Embedded-Type Control System Design for Nonrepetitive Systems |g 229 -- |g 8.3.2.2 |t Modularized Controller Design Scheme for Repetitive Systems |g 232 -- |g 8.3.3 |t Simulations |g 235 -- |g 8.4 |t Conclusions |g 238 -- |g 9 |t Robustness of Model-Free Adaptive Control |g 241 -- |g 9.1 |t Introduction |g 241 -- |g 9.2 |t MFAC in the Presence of Output Measurement Noise |g 242 -- |g 9.2.1 |t Robust Stability Analysis |g 242 -- |g 9.2.2 |t Simulations |g 247 -- |g 9.3 |t MFAC in the Presence of Data Dropouts |g 247 -- |g 9.3.1 |t Robust Stability Analysis |g 249 -- |g 9.3.2 |t MFAC Scheme with Data-Dropped Compensation |g 252 -- |g 9.3.3 |t Simulations |g 258 -- |g 9.4 |t Conclusions |g 259 -- |g 10 |t Symmetric Similarity for Control System Design |g 261 -- |g 10.1 |t Introduction |g 261 -- |g 10.2 |t Symmetric Similarity for Adaptive Control Design |g 263 -- |g 10.2.1 |t Concepts and Design Principle of Symmetric Similarity |g 264 -- |g 10.2.2 |t Adaptive Control with Symmetric Similarity Structure |g 266 -- |g 10.2.2.1 |t Adaptive Control with Symmetric Similarity Structure for Linear Systems |g 266 -- |g 10.2.2.2 |t Adaptive Control with Symmetric Similarity Structure for Nonlinear Systems |g 270 -- |g 10.2.3 |t MFAC with Symmetric Similarity Structure |g 272 -- |g 10.2.4 |t Simulations |g 273 -- |g 10.2.4.1 |t Adaptive Control with Symmetric Similarity Structure |g 276 -- |g 10.2.4.2 |t MFAC with Symmetric Similarity Structure |g 278 -- |g 10.3 |t Similarity between MFAC and MFAILC |g 280 -- |g 10.4 |t Similarity between Adaptive Control and Iterative Learning Control |g 283 -- |g 10.4.1 |t Adaptive Control for Discrete-Time Nonlinear Systems |g 287 -- |g 10.4.1.1 |t Problem Formulation |g 287 -- |g 10.4.1.2 |t Adaptive Control Design |g 287 -- |g 10.4.1.3 |t Stability and Convergence Analysis |g 288 -- |g 10.4.2 |t Adaptive ILC for Discrete-Time Nonlinear Systems |g 293 -- |g 10.4.2.1 |t Problem Formulation |g 293 -- |g 10.4.2.2 |t Adaptive Iterative Learning Control Design |g 293 -- |g 10.4.2.3 |t Stability and Convergence Analysis |g 294 -- |g 10.4.3 |t Comparison between Adaptive Control and Adaptive ILC |g 301 -- |g 10.5 |t Conclusions |g 304 -- |g 11 |t Applications |g 305 -- |g 11.1 |t Introduction |g 305 -- |g 11.2 |t Three-Tank Water System |g 306 -- |g 11.2.1 |t Experimental Setup |g 306 -- |g 11.2.2 |t Three Data-Driven Control Schemes |g 308 |
| 505 | 0 | 0 | |t -- |g 11.2.2.1 |t MFAC Scheme |g 308 -- |g 11.2.2.2 |t VRFT Method |g 308 -- |g 11.2.2.3 |t IFT Method |g 309 -- |g 11.2.3 |t Experimental Investigation |g 309 -- |g 11.2.3.1 |t Experiment I |g 309 -- |g 11.2.3.2 |t Experiment II |g 314 -- |g 11.3 |t Permanent Magnet Linear Motor |g 314 -- |g 11.3.1 |t Permanent Magnet Linear Motor System |g 316 -- |g 11.3.1.1 |t Experimental Setup |g 316 -- |g 11.3.1.2 |t MFAC Scheme |g 317 -- |g 11.3.1.3 |t Experiments |g 319 -- |g 11.3.2 |t Dual-Axis Linear Motor Gantry System |g 325 -- |g 11.3.2.1 |t Experimental Setup |g 325 -- |g 11.3.2.2 |t MFAC Scheme for the Dual-Axis Linear Motor Gantry System |g 326 -- |g 11.3.2.3 |t Experiments |g 326 -- |g 11.4 |t Freeway Traffic System |g 329 -- |g 11.4.1 |t Macroscopic Traffic Model |g 331 -- |g 11.4.2 |t Control Scheme |g 333 -- |g 11.4.3 |t Simulations |g 334 -- |g 11.5 |t Welding Process |g 339 -- |g 11.5.1 |t Experimental Setup |g 339 -- |g 11.5.2 |t Control Scheme |g 340 -- |g 11.5.3 |t Simulations |g 341 -- |g 11.5.4 |t Experimental Investigation |g 341 -- |g 11.6 |t MW Grade Wind Turbine |g 343 -- |g 11.6.1 |t Wind Turbine Blade Static Loading Control System |g 345 -- |g 11.6.2 |t Control Scheme |g 346 -- |g 11.6.3 |t Static Loading Experiment |g 347 -- |g 11.7 |t Conclusions |g 348 -- |g 12 |t Conclusions and Perspectives |g 351 -- |g 12.1 |t Conclusions |g 351 -- |g 12.2 |t Perspectives |g 353. |
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| 650 | 0 | |a Adaptive control systems. | |
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