Adaptive Systems in Control and Signal Processing 1995.
Material type:
- text
- computer
- online resource
- 9781483296890
- 629.836
- TJ217.A3219 1995eb
Front Cover -- Adaptive Systems in Control and Signal Processing 1995 -- Copyright Page -- Table of Contents -- Part I: PLENARY SESSIONS -- Chapter 1. IDENTIFICATION FOR CONTROL -- 1. INTRODUCTION -- 2. IDENTIFICATION IN OPEN AND CLOSED LOOP -- 3. THE DUAL CONTROL APPROACH -- 4. OPTIMAL IDENTIFICATION DESIGN FOR CONTROL -- 5. MATCHING IDENTIFICATION AND CONTROL CRITERION -- 6. CONCLUSIONS -- ACKNOWLEDGEMENTS -- 7. REFERENCES -- Chapter 2. COMBINED IDENTIFICATION AND CONTROL: ANOTHER WAY -- 1. INTRODUCTION -- 2. A NEW CONTROLLER STRUCTURE -- 3. A GENERIC SCHEME FOR OPTIMAL POLEPLACEMENT CONTROLLERS -- 4. COMBINED mENTIFICATION AND CONTROL SCHEMES -- 5. COMPARISON OF THE DIFFERENT SCHEMES -- 6. ON THE GENERIC OPTIMAL CONTROLLER SCHEME -- 7. EXAMPLES FOR OFF-LINE ITERATIVE REGULATOR REFINEMENT -- 8. A WORST-CASE OPTIMAL INPUT DESIGN ALGORITHM FOR OFF-LINE CLCR IDENTIFICATION -- 9. EXAMPLES FOR CLCR IDENTIFICATION BASED ON OPTIMAL INPUT DESIGN -- 10. ADAPTIVE SOLUTION FOR THE ON-LINE ITERATIVE REGULATOR REFINEMENT -- 11. THE CONCEPT OF AN ADAPTIVE "TRIPLECONTROL -- 12. ADAPTIVE EXAMPLES -- 13. CONCLUSIONS -- 14. REFERENCES -- Chapter 3. NONLINEAR ADAPTIVE FILTERS: DESIGN AND APPLICATION -- 1. INTRODUCTION -- 2. FILTERS FOR NOISE REDUCTION -- 3. ADAPTIVE EQUALISATION -- 4. A CLASSIFICATION PROBLEM -- 5. THE MULTILAYER PERCEPTRON -- 6. THE VOLTERRA SERIES -- 7. THE RADIAL BASIS FUNCTION NETWORK -- 8. THE DECISION FEEDBACK EQUALISER -- 9. SIGNAL PREDICTION -- 10. CONCLUSIONS -- 11. ACKNOWLEDGEMENTS -- 12. REFERENCES -- Chapter 4. ADAPTIVE PREDICTIVE CONTROL -- 1 INTRODUCTION -- 2 MODELS -- 3 COST FUNCTIONS, PERFORMANCE AND ROBUSTNESS -- 4 CONSTRAINTS -- 5 RECURSIVE LEAST SQUARES AND UDU -- 6 SIMULTANEOUS ESTIMATION OF MODELS -- 7 USING THE UDU METHOD -- 8 FIDDLE FACTORS -- 9 CONCLUSIONS -- 10 ACKNOWLEDGEMENTS -- 11 REFERENCES.
Chapter 5. A KULLBACK-LEIBLER DISTANCE APPROACH TO SYSTEM IDENTIFICATION -- 1. INTRODUCTION -- 2. PARAMETER ESTIMATION AND PROBABILITY -- 3. KULLBACK-LEIBLER DISTANCE -- 4. PARAMETER ESTIMATION AND KULLBACK-LEIBLER DISTANCE -- 5. ASYMPTOTIC APPROXIMATION VIA LARGE DEVIATIONS -- 6. COPING WITH "BAD" DATA -- 7. COPING WITH "BAD" MODEL -- 8. MARKOV CHAINS -- 9. CONCLUDING REMARKS -- ACKNOWLEDGMENT -- REFERENCES -- Part II: INVITED SESSION WEAK-DUALITY FOR ADAPTIVE CONTROL -- Chapter 6. Adaptive dual control methods: An overview -- 1. INTRODUCTION -- 2. ADAPTIVE CONTROL -- 3. CLASSIFICATION OF CONTROLLERS -- 4. NON-DUAL ADAPTIVE CONTROLLERS -- 5. OPTIMAL DUAL CONTROLLERS -- 6. SUBOPTIMAL DUAL CONTROLLERS -- 7. WHEN TO USE DUAL CONTROL? -- 8. SUMMARY -- 9. REFERENCES -- Chapter 7. ADAPTIVE CONTROL BY WORST-CASE DUALITY -- 1. INTRODUCTION -- 2. THE WORST-CASE DUAL-CONTROL PROBLEM -- 3. A POSTERIORI FINITE-TIME TUNING BY A SYNERGIC SCHEME -- 4. CONCLUSION -- REFERENCES -- Chapter 8.PARAMETRIC UNCERTAINTY AND CONTROL PERFORMANCE IN STOCHASTIC ADAPTIVE CONTROL -- 1. INTRODUCTION -- 2. SELF-TUNING -- 3. PARAMETRIC UNCERTAINTY AND PERFORMANCE -- 4. OPTIMALITY -- 5. CONCLUSION -- 6. REFERENCES -- Chapter 9. FREQUENCY SELECTIVE WEAKLY-DUAL ADAPTIVE CONTROL -- 1. INTRODUCTION -- 2. DESCRIPTION OF THE SYSTEM -- 3. OUTLINE OF THE ADAPTIVE SCHEME -- 4. STABILITY AND PERFORMANCE -- 5. CONCLUSION -- REFERENCES -- Chapter 10. ADAPTIVE CONTROL WITH IMPROVED ASYMPTOTIC PERFORMANCE IN THE PRESENCE OF DETERMINISTIC DISTURBANCES -- Abstract -- 1 Introduction -- 2 Problem statement -- 3 Reasons for estimation algorithm -- 4 Adaptive control -- 5 Conclusion -- References -- Part III: CASE STUDY SESSION MULTISTAGE FLASH SEAWATER DESAUNATION PLANT CONTROL.
Chapter 11. SIMULATION AIDED DESIGN AND DEVELOPMENT OF AN ADAPTIVE SCHEME WITH OPTIMALLY TUNED PID CONTROLLER FOR A LARGE MULTISTAGE FLASH SEAWATER DESALINATION PLANT - PART I: -- 1. INTRODUCTION AND PREAMBLE -- 2. MODELLING AND SIMULATION -- 3. CONCLUSION AND DISCUSSION ON FURTHER WORK -- REFERENCES -- Chapter 12. SIMULATION AIDED DESIGN AND DEVELOPMENT OF AN ADAPTIVE SCHEME WITH OPTIMALLY TUNED PID CONTROLLER FOR A LARGE MULTISTAGE FLASH SEA WATER DESALINATION PLANT - PART II: -- 1. INTRODUCTION -- 2. MODEL APPROXIMATION FOR PID CONTROL DESIGN -- 3. PROBLEM STATEMENT AND METHOD OF APPROACH -- 4. APPLICATION OF THE PRESENT METHOD -- 5. OPTIMAL PID TUNING WITH FODT APPROXIMATED PLANT MODELS -- REFERENCES -- Chapter 13. SIMULATION AIDED DESIGN AND DEVELOPMENT OF AN ADAPTIVE SCHEME WITH OPTIMALLY TUNED PID CONTROLLER FOR A LARGE MULTISTAGE FLASH SEAWATER DESALINATION PLANT - PART III: -- 1. INTRODUCTION -- 2. PID CONTROL SYSTEM SIMULATION AND OPTIMIZATION WITH UNREDUCED PLANT MODEL IN NONPARAMETRIC FORM -- 3. PARAMETER SCHEDULING SCHEME FOR A RANGE OF OPERATING CONDITIONS -- 4. CONCLUSIONS AND DIRECTIONS FOR FUTURE WORK -- REFERENCES -- Part IV: TECHNICAL SESSIONS ADVANCED TRACKING AND FORGETTING TECHNIQUES -- Chapter 14. OPTIMISATION OF SET-POINT TRANSITION IN COMBINED CYCLE POWER PLANTS USING PREDICTIVE CONTROL TECHNIQUES -- 1. INTRODUCTION : A GENERIC COMBINED CYCLE POWER PLANT STRUCTURE AND A SIMULATION MODEL -- 2. THE TASK OF PREDICTIVE CONTROL -- 3. IMPLEMENTATION ISSUES -- 4. SIMULATION RESULTS -- 5. CONCLUSIONS -- ACKNOWLEDGEMENTS -- REFERENCES -- Chapter 15. APPROXIMATE ARX MODEL ESTIMATION FOR JACKETING ADAPTIVE SYSTEMS -- 1. INTRODUCTION -- 2. THEORY OVERVIEW -- 3. POOLING FOR ARX MODEL -- 4. EXPERIMENTS -- 5. CONCLUSIONS -- REFERENCES -- Chapter 16. DISTRIBUTION OF THE RLS-ESTIMATOR IN A TIMEVARYING AR(l)-PROCESS. -- 1 INTRODUCTION.
2 DEFINITIONS -- 3 DENSITY FUNCTION -- 4 MOMENTS -- 5 COMPUTATIONS -- 6 CONCLUSIONS -- 7 REFERENCES -- Chapter 17. A COMPARISON OF IDENTIFICATION ALGORITHMS FOR RAPIDLY TIME-VARYING PARAMETERS ON A REAL PROCESS -- 1. INTRODUCTION -- 2. PARAMETER ESTIMATION VIA RLS -- 3. METHODS BASED ON ∆θ (t) -- 4. METHODS BASED ON THE ESTIMATION ε(t). -- 5. APPLICATION TO A REAL PLANT -- 6. CONCLUSIONS -- 7. ACKNOWLEDGMENTS -- 8. REFERENCES -- Chapter 18. TIME-VARYING STABILIZED FORGETTING FOR RECURSIVE LEAST SQUARES IDENTIFICATION -- 1. INTRODUCTION -- 2. TIME-VARYING STABILIZED LS ESTIMATORS -- 3. STABILITY PROPERTIES -- 4. DETERMINISTIC PARAMETER CONVERGENCE PROPERTIES -- 5. EXTENSIONS -- 6. CONCLUSIONS -- 7. REFERENCES -- Chapter 19. DYNAMICAL PROPERTIES OF THE RECURSIVE MAXIMUM LIKELYHOOD ALGORYTHM FOR FREQUENCY ESTIMATION -- 1. INTRODUCTION -- 2. THE RMLN ALGORITHM -- 3. DYNAMICAL ANALISYS -- 4. CLOSED-LOOP SIMULATIONS -- 5. CONCLUSIONS -- 6. ACKNOWLEDGEMENTS -- 7. REFERENCES -- Part V: ADAPTIVE FILTERING AND STATE ESTIMATION -- Chapter 20. ADAPTIVE RECEDING HORIZON STATE ESTIMATION FOR NON LINEAR PROCESSES -- 1. INTRODUCTION -- 2. THE ADAPTIVE RECEDING HORIZON STATE ESTIMATION -- 3. PERFORMANCES OF THE A.R.H.S.E. METHOD ON A NON-LINEAR PROCESS -- 4. CONCLUSION -- REFERENCES -- Chapter 21. A NEW REDUCED-ORDER ADAPTIVE FILTER FOR STATE ESTIMATION IN HIGH DIMENSIONAL SYSTEMS -- 1. INTRODUCTION -- 2. PREMILINARY RESULTS -- 3. ASYMPTOTICAL ROAF. APPROXIMATIONS -- 4. ASYMPTOTICALLY OPTIMAL ROAF -- 5. NONLINEAR ROAF -- 6. COMPUTATION OF THE TRANSITION MATRIX -- 7. SIMULATION RESULTS -- 8. CONCLUSION -- 9. REFERENCES -- Chapter 22. ADAPTIVE FILTERING WITH FICTITIOUS ERROR SURFACES TO ACHIEVE GLOBAL CONVERGENCE -- 1. INTRODUCTION -- 2. FICTITIOUS ERROR SURFACES -- 3. THE COMPOSITE GRADIENT ALGORITHM -- 4. SUMMARY -- REFERENCES.
Chapter 23. UNBIASED ESTIMATION OF A SINUSOID IN NOISE VIA NOTCH FILTERS -- 1. INTRODUCTION AND PROBLEM POSITION -- 2. A MIN-MAX PROCEDURE FOR UNBIASED FREQUENCY ESTIMATION -- 3. A SIMULATION EXAMPLE -- 4. CONCLUDING REMARKS -- ACKNOWLEDGMENTS -- REFERENCES -- Chapter 24. A COMPOSITE OBSERVER STRUCTURE FOR ADAPTIVE FOURIER ANALYSIS1 -- I. INTRODUCTION -- II. THE POLYPHASE DECOMPOSITION OF THE RECURSIVE DFT -- III. THE NEW ADAPTIVE FOURIER ANALYZER -- IV. CONCLUSIONS -- REFERENCES -- Chapter 25. Lp (1≤p≤∞) BLIND ADAPTIVE DECONVOLUTION AND ITS APPLICATIONS -- 1. INTRODUCTION -- 2. PARAMETRIC MODELS AND UNIQUENESS OF Lp AND L« BLIND DECONVOLUTION -- 3. SAMPLE VERSION OF L∞, BLIND DECONVOLUTION AND THE STRONG CONSISTENCY OF ESTIMATOR -- 4. ITERATIVE AGORITHM FOR L∞ BLIND DECONVOLUTION AND SIMULATION EXAMPLES -- REFERENCES -- Part VI: ADAPTIVE CONTROL APPLICATIONS -- Chapter 26. DESIGN OF A MULTIVARIABLE STATE-SPACE ADAPTIVE CONTROLLER AND ITS APPLICATION TO A TURBO-GENERATOR PILOT PLANT -- 1. INTRODUCTION -- 2. PROCESS MODEL AND IDENTIFICATION -- 3. ADAPTIVE OPTIMAL LINEAR QUADRATIC CONTROLLER DESIGN -- 4. THE PILOT PLANT TURBO-GENERATOR -- 5. IMPLEMENTATION AND RESULTS -- 6. CONCLUSIONS -- ACKNOWLEDGEMENT -- REFERENCES -- Chapter 27. MAINSTEAM TEMPERATURE RAISING CONTROL FOR A THERMAL POWER PLANT VIA MRACS BASED ON A QUICK IDENTIFICATION METHOD -- 1. INTRODUCTION -- 2. MODELLING OF SUPER-HEATER SYSTEM -- 3. A QUICK SYSTEM IDENTIFICATION METHOD -- 4. ADAPTIVE CONTROL -- 5. SIMULATION STUDIES -- 6. CONCLUSIONS -- 7. REFERENCES -- Chapter 28. FREQUENCY BASED ADAPTIVE CONTROL OF SYSTEMS WITH ANTIRESONANCE MODES -- 1. INTRODUCTION -- 2. FREQUENCY BASED IMC -- 3. A CASE STUDY: LINEAR SYSTEM WITH ONE ANTIRESONANCE FREQUENCY -- 4. REAL SYSTEM WITH ANTIRESONANCE CHARACTERISTICS: A DISTRIBUTED SOLAR COLLECTOR FIELD -- 5. CONCLUSIONS -- ACKNOWLEDGEMENTS.
REFERENCES.
Leading academic and industrial researchers working with adaptive systems and signal processing have been given the opportunity to exchange ideas, concepts and solutions at the IFAC Symposia on Adaptive Systems in Control and Signal Processing. This postprint volume contains all those papers which were presented at the 5th IFAC Symposium in Budapest in 1995. The technical program was composed of a number of invited and contributed sessions and a special case study session, providing a good balance between applications and theory oriented papers.
Description based on publisher supplied metadata and other sources.
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
There are no comments on this title.