Download Adaptive systems in control and signal processing, 1989 : by Michael A Johnson; International Federation of Automatic PDF

By Michael A Johnson; International Federation of Automatic Control

The Symposium coated 3 significant components: adaptive keep an eye on, identity and sign processing. In all 3, new advancements have been mentioned masking either theoretical and functions examine. in the topic sector of adaptive keep an eye on the dialogue targeted round the demanding situations of strong keep an eye on layout to unmodelled dynamics, powerful parameter estimation and more desirable functionality from the estimator, whereas the papers on identity took the topic of it being a bridge among adaptive regulate and sign processing. the ultimate region checked out elements of sign processing: recursive estimation and adaptive filters.

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Additional resources for Adaptive systems in control and signal processing, 1989 : selected papers from the 3rd IFAC Symposium, Glasgow, UK, 19-21 April 1989

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Assu m p t i o ns (i) We assume that the sub-systems Ar- 1 C r , A - l c 1 and A - l c2 are proper rational matrices. (ii) We assume that Ar is a right divisor of A0. (iii) We assume that the polynomial matrices A and B are left-coprime. Theorem Assumptions (i)-(iii) hold, the equations (21), (23) and (25 ) have unique solutions characterised, respectively, as follows: 2 When Assumptions (i)-(iii) hold, the implied polynomial matrix equations (21), (23) and (25) may be used to determine uniquely the optimal c o n tro ller matri c e s .

Adaptive control; Algebraic system theory; Control theory; Industrial control; Multivariable Stochastic control systems; Optimal control; Power system control; control. developed by Ku�era (1979) and extended to the tracking case by �ebek (198 3 ). e. to decrease the optimal cost). All systems considered in this paper are described by means of real polynomial matrices in the delay operator d. The reader is referred to Ku�era (1979) for details. For simplicity the arguments of polynomial matrices are often omitted such that X(d) is denoted by X.

And E. Mosca (1986). • Proc. 'TU& IFAC Srmp. Itlent. Srat. Param. K. 137-142. ; G. Menga, E. Mosca and G. Zappa (1984). • Aatomatic:a, 20, 681-699. [101 Conclusions. An adapUve control algorithm solving an underlying con­ trol problem thali coincides with the semiinfinite LQ stochas­ tic feedback has been developed. , T � n + 1, n being the order of the ARMAX plant, together with an appropriate control synthesis rule. The propOled algorithm. turns out to be a slighily modified ver­ sion of MUSMAR with the capability of tuning itself to the semiinfinite horilOll LQ stochastic regulator (LQSR).

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