By Gang Feng, Rogelio Lozano
Adaptive keep watch over is not any longer simply an enormous theoretical box of analysis, yet is additionally delivering suggestions to real-world difficulties. Adaptive concepts will remodel the realm of keep an eye on. The major international practitioners of adaptive regulate have contributed to this instruction manual that's an important paintings but during this box. not just are concepts defined in idea, yet specific keep watch over algorithms are given, making this a pragmatic cookbook of adaptive keep watch over for either keep an eye on pros and practising engineers.
The ebook offers the main complicated suggestions and algorithms of adaptive keep an eye on. those comprise quite a few strong concepts, functionality enhancement concepts, ideas with much less a-priori wisdom, nonlinear adaptive regulate options and clever adaptive ideas. each one process defined has been built to supply a pragmatic approach to a real-life challenge. This quantity will hence not just enhance the sphere of adaptive keep watch over as a space of research, yet also will exhibit how the opportunity of this know-how may be discovered and supply major merits.
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Additional info for Adaptive Control Systems
1989). Robust Process Control. Prentice-Hall, Englewood Clis, NJ. , Shioya, S. and Okada, Y. (1985). `Adaptive Internal Model Control and its Application to a Batch Polymerization Reactor', IFAC Symposium on Adaptive Control of Chemical Processes, Frankfurt am Main.  Soper, R. , Mellichamp, D. A. and Seborg, D. E. (1993). `An Adaptive Nonlinear Control Strategy for Photolithography', Proc. Amer. Control Conf.  Datta, A. and Ochoa, J. (1996). `Adaptive Internal Model Control: Design and Stability Analysis', Automatica, Vol.
F t2 has been used. 1 are thus proved. 1, the global stability and convergence results of the new adaptive control system can be established as in ,  as long as the estimated "1 is small enough, which are summarized in the following theorem. 11) is globally stable in the sense that all the signals in the loop remain bounded. In this approach, we have eliminated the requirement for the knowledge of the parameters of the upper bounding function on the modelling uncertainties. e. assumption (A4) is still there.
7] Praly, L. (1987). `Unmodelled Dynamics and Robustness of Adaptive Controllers', presented at the Workshop on Linear Robust and Adaptive Control, Oaxaca, Mexico.  Petersen, B. B. and Narendra, K. S. (1982). `Bounded Error Adaptive Control', IEEE Trans. Automat. , Vol. AC-27, 1161±1168.  Samson, C. (1983). `Stability Analysis of Adaptively Controlled System Subject to Bounded Disturbances', Automatica, Vol. 19, 81±86.  Egardt, B. (1980). `Global Stability of Adaptive Control Systems with Disturbances', Proc.