Adaptive Control Systems
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 adaptive control. These include various robust techniques, performance enhancement techniques, techniques with less a-priori knowledge, nonlinear adaptive control techniques and intelligent adaptive techniques. Each technique described has been developed to provide a practical solution to a real-life problem. This volume will therefore not only advance the field of adaptive control as an area of study, but will also show how the potential of this technology can be realised and offer significant benefits.
Practical cookbook of adaptive control
Contains important research
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2 An algorithm for robust adaptive control with less prior knowlege
3 Adaptive variable structure control
4 Indirect adaptive periodic control
the method of localization
passivation and small gain techniques
7 Active identification for control of discretetime uncertain nonlinear systems
8 Optimal adaptive tracking for nonlinear systems
9 Stable adaptive systems in the presence of nonlinear parametrization
10 Adaptive inverse for actuator compensation
11 Stable multiinput multioutput adaptive fuzzyneural control
12 Adaptive robust control scheme with an application to PM synchronous motors
actuator nonlinearity adaptive inverse adaptive law adaptive stabilization adaptive variable structure algorithm approach assumption asymptotically atclf backstepping boundedness bounding function certainty equivalence chapter closed loop system coe cient compute concave Consider constant Contr control design control input control law control scheme convergence convex deŽned DeŽnition dead zone deﬁned denotes direct adaptive control discrete-time dynamic system equation error model exists ﬁnite ﬁrst fuzzy systems global stability guarantee IEEE IEEE Trans internal model control Kokotovic Lemma linear linearizable localization Lyapunov function matrix minimum phase nite nonlinear systems optimal control output feedback parameter estimation passivation plant pole placement polynomial positive deﬁnite Praly pre-computed Proof properties proposed relative degree robust adaptive control satisŽed satisﬁes Section signals simulation small gain smooth function solutions stable polynomial switching control time-varying systems tracking error tracking performance uncertainties unknown parameters unmodelled dynamics update law values y-system zero