Titlebook: Iterative Identification and Control; Advances in Theory a Pedro Albertos (Professor),Antonio Sala (Doctor) Book 2002 Springer-Verlag Londo

較早

Paul M. J. Van den Hof,Raymond A. de Callafonion von Strafhaft aufzuzeigen, d.h. auch die Aspekte des (gesellschaftlichen) Nutzens der Vollzugseinrichtungen zu berücksichtigen. Dieses Ziel wird mittels einer bundesweiten Feldstudie verfolgt, die von den Autoren an der TU-Darmstadt organisiert und zum gro?en Teil auch selbst durchgeführt wurde.

Expostulate

Modelling, Identification and Controlver the last ten years of the intense research activity and on the important progress that has taken place in the interplay between modelling, identification and robust control design. The major players of this interplay are presented; some key technical difficulties are highlighted, as well as the

偽善

Inveterate

Data Preparation for Identificationwe describe some important principles in practice for pre-processing the data for modelling and identification, unfortunately by hand. Three areas are considered that precede the application of identification software. These deal with: model structure selection, where one decides on the class of can

SAGE

Model Uncertainty and Feedbackn the models used to design the feedback law. Model uncertainty and robustness have been a central theme in the development of the field of automatic control. This paper gives an elementary presentation of the key results.

curettage

Limerick

Model-based Iterative Control Designain purpose is to emphasise the advantages and drawbacks of the approach. Thus, no attention is paid to the power or adequacy of the control design, identification or model parameter estimation algorithms. The common feature of the plants used in the designs is their apparent frequency decomposition

雇傭兵

Windsurfing Approach to Iterative Control Designt, and thereby at the very least not introducing an unstable closed loop. Given that the models used for control design are not identical to the real plant, a technique is needed to assure stability of the model-derived controllers with the real plant. This is provided by the windsurfer approach to

殘廢的火焰

Iterative Optimal Control Designssian optimal control (LQG) and least squares optimal identification. The tack is taken to explore methods in which the objective criterion for each phase is modified to reflect the overall control task at hand. This tutorial introduction examines the tools available for sculpting the respective con

語(yǔ)源學(xué)