Termites : biology and pest management / M.J. Pearce

• Record Nr.: UNINA990001809160403321
• Autore: Pearce, M.J.
• Pubbl/distr/stampa: Wallingford, : CAB International, 1997
• ISBN: 0-85199-130-0
• Descrizione fisica: XII, 172 ; 32 tav. , 24 cm
• Disciplina: 595.736
• Locazione: FAGBC
• Collocazione: 60 595.736 PEAM 1997
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia

Adaptive control systems / / Gang Feng and Rogelio Lozano

• Record Nr.: UNINA9911004740403321
• Autore: Feng Gang
• Pubbl/distr/stampa: Boston ; ; Oxford, : Newnes, 1999
• ISBN: 9786611077273; 9781281077271; 1281077275; 9780080498607; 0080498604
• Descrizione fisica: 1 online resource (360 p.)
• Altri autori (Persone): LozanoR <1954-> (Rogelio)
• Disciplina: 629.8/36 21; 629.836
• Soggetti: Adaptive control systems; Self-tuning controllers
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Contents; List of contributors; Preface; 1. Adaptive internal model control; 1.1 Introduction; 1.2 Internal model control (IMC) schemes: known parameters; 1.3 Adaptive internal model control schemes; 1.4 Stability and robustness analysis; 1.5 Simulation examples; 1.6 Concluding remarks; References; 2. An algorithm for robust adaptive control with less prior knowlege; 2.1 Introduction; 2.2 Problem formulation; 2.3 Ordinary direct adaptive control with dead zone; 2.4 New robust direct adaptive control; 2.5 Robust adaptive control with least prior knowledge; 2.6 Simulation example; 2.7 ConclusionsReferences; 3. Adaptive variable structure control; 3.1 Introduction; 3.2 Problem formulation; 3.3 The case of relative degree one; 3.4 The case of arbitrary relative degree; 3.5 Computer simulations; 3.6 Conclusion; Appendix; References; 4. Indirect adaptive periodic control; 4.1 Introduction; 4.2 Problem formulation; 4.3 Adaptive control scheme; 4.4 Adaptive control law; 4.5 Simulations; 4.6 Conclusions; References; 5. Adaptive stabilization of uncertain discrete-time systems via switching control: the method of localization; 5.1 Introduction; 5.2 Problem statement; 5.3 Direct localization principle5.4 Indirect localization principle; 5.5 Simulation examples; 5.6 Conclusions; Appendix A; Appendix B; References; 6. Adaptive nonlinear control: passivation and small gain techniques; 6.1 Introduction; 6.2 Mathematical preliminaries; 6.3 Adaptive passivation; 6.4 Small gain-based adaptive control; 6.5 Conclusions; References; 7. Active identification for control of discrete-time uncertain nonlinear systems; 7.1 Introduction; 7.2 Problem formulation; 7.3 Active identification; 7.4 Finite duration; 7.5 Concluding remarks; Appendix; References; 8. Optimal adaptive tracking for nonlinear systems8.1 Introduction; 8.2 Problem statement: adaptive tracking; 8.3 Adaptive tracking and atclf's; 8.4 Adaptive backstepping; 8.5 Inverse optimal adaptive tracking; 8.6 Inverse optimality via backstepping; 8.7 Design for strict-feedback systems; 8.8 Transient performance; 8.9 Conclusions; Appendix: A technical lemma; References; 9. Stable adaptive systems in the presence of nonlinear parametrization; 9.1 Introduction; 9.2 Statement of the problem; 9.3 Preliminaries; 9.4 Stable adaptive NP-systems; 9.5 Applications; 9.6 Conclusions; Appendix: Proof of lemmasReferences; 10. Adaptive inverse for actuator compensation; 10.1 Introduction; 10.2 Plants with actuator nonlinearities; 10.3 Parametrized inverses; 10.4 State feedback designs; 10.5 Output feedback inverse control; 10.6 Output feedback designs; 10.7 Designs for multivariable systems; 10.8 Designs for nonlinear dynamics; 10.9 Concluding remarks; References; 11. Stable multi-input multi-output adaptive fuzzy/neural control; 11.1 Introduction; 11.2 Direct adaptive control; 11.3 Indirect adaptive control; 11.4 Applications; 11.5 Conclusions; References; 12. Adaptive robust control scheme with an application to PM synchronous motors
• Sommario/riassunto: Adaptive control is no longer just an important theoretical field of study, but is also providing solutions to real-world problems. Adaptive techniques will transform the world of control. The leading world practitioners of adaptive control have contributed to this handbook which is the most important work yet in this field. Not only are techniques described in theory, but detailed control algorithms are given, making this a practical cookbook of adaptive control for both control professionals and practising engineers.The book presents the most advanced techniques and algorithms of ada