Adaptive Systems in Control and Signal Processing 1989, Volume 3M.A. Johnson The first of the 1990 IFAC (International Federation of Automatic Control) symposia series, this volume comprises selected papers from the 3rd IFAC Symposium, held in Glasgow, Scotland, April 1989. The adaptive control section covers topics in adaptive LQ and LQG control; generalized predictive control; model reference; adaptive pole- placement, state space and internal model control methods; variable structure and nonlinear system advantage control techniques; robust design; identification issues and design; adaptive PID control; applications; and learning methodologies and computational issues. The section on identification covers recursive algorithms; and robust identification schemes. The section on signal processing addresses theoretical issues; time series and decision making; and adaptive filters. Annotation copyrighted by Book News, Inc., Portland, OR |
Contents
Plenary Lectures | 1 |
Uncertainty Information and Estimation | 7 |
Adaptive Control | 14 |
Copyright | |
44 other sections not shown
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Adaptive Systems in Control and Signal Processing 1989 T.S. Durrani,D.H. Owens,M.A. Johnson,M.J. Grimble Limited preview - 2014 |
Common terms and phrases
adaptive control adaptive control system adaptive law adaptive system algorithm applications assumed Automatica bounded closed loop system coefficients computational considered continuous-time control algorithm control input control law convergence coprime covariance matrix defined denote discrete discrete-time disturbance equation error Expert System feedback feedforward Figure forgetting factor frequency gain given identification IEEE Trans IFAC implementation Kalman filter least squares Lemma linear matrix measurement method minimize minimum phase model reference adaptive multivariable noise nonlinear obtained operator optimal control output paper parameter estimation performance phase PID control plant pole placement polynomial polynomial matrix predictive control problem Proc properties recursive recursive least squares regulator response robust self-tuning control sequence set-point shown Signal Processing simulation solution stability stable polynomial step response stochastic structure Theorem time-varying tion tracking transfer function tuning variable variance vector white noise zero