Titlebook: Methods and Applications in Adaptive Control; Proceedings of an In H. Unbehauen Conference proceedings 1980 Springer-Verlag Berlin Heidelbe

泥沼

neolith

Design principles for self-tuning regulators,tion methods are emphasized. The distinction between self-tuners based on identification of explicit and implicit process models are discussed as well as the relations between Self-Tuning Regulators (STR), and Model Reference Adaptive Systems (MRAS). An overview of practical problems and operational

labile

依法逮捕

Multivariable self tuning augmented regulator,nty about the parameter values prevent application of deterministic control strategies. Based upon the certainty equivalence principle, the parameters of the process model are estimated using the least squares method and then the estimated parameters are used in the control algorithm of the regulato

Fibrin

Unconditional stabilizers for nonminimum phase systems,ovariable and/or minimum-phase systems. It is shown here that a large class of identification methods can be associated with a very large class of control methods in order to perform the unconditional stabilization of deterministic linear systems.

Jogging

On some adaptive controllers for stochastic systems with slow output sampling, estimation are examined and their self-tuning properties are investigated. The explicit analysis is carried out for a general first order system with an additional delay. The adaptive control of non minimum phase systems raises a new problem. Requirements on identifiability and self-tuning are then

Abrade

Realization and application of a self-tuning on-off controller,e system output sequences taking into account the whole set of future on-off input sequences over a specified number of time intervals. For every time interval the optimal input is selected by minimizing a suitable cost-function, measuring the deviation between the predicted output sequence and the

cluster

无畏

Suboptimal adaptative feedback control of nonlinear systems, are state dependent. Computation and adaptation of linear feedback gains rather than direct determination of an open-loop control vector assures security and stability of the system, even when computers have breakdowns. The proposed algorithms suit well with decentralized control schemes and give r

热心助人

Identification strategies for time-delay systems,cted class of input functions. Suggestions have been made of open research problems, for example the use of time varying loop gains, the optimisation of parameter trajectories, and extensions to general inputs..No detailed discussion has been given of the problem of large offsets but in the control