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In this work we focus on iterative learning control (ILC) design for tracking iteration-varying reference trajectories that are generated by high-order internal models (HOIM). An HOIM can be formulated as a polynomial operator between consecutive iterations to describe the changes of desired trajectories in the iteration domain. The classical ILC for tracking iteration-invariant reference trajectories,...
The adaptive stabilization problem of linear systems with unknown parameters and without noise models is studied in this paper, we investigate continuous time jump linear systems with a finite-state hidden Markov jump form process. A sufficient condition characterizing the adaptive stabilizability of the system is found, which hings on the existence of a set of algebraic coupled Riccati equations...
In this work we focus on iterative learning control (ILC) for iteratively varying reference trajectories which are described by a high-order internal model. The high-order internal model (HOIM) is formulated as a polynomial between two consecutive iterations. The classical ILC with iteratively invariant reference trajectories, on the other hand, is a special case of HOIM where the polynomial renders...
One of the approaches to sampled-data controller design for nonlinear continuous-time systems consists of obtaining an appropriate model and then proceeding to design a controller for the model. Hence, it is important to derive a good approximate sampled-data model because the exact sampled-data model for nonlinear systems is often unavailable to the controller designers. Recently, Yuz and Goodwin...
For sampled-data controller design of nonlinear continuous-time systems, it is important to derive a good approximate sampled-data model because the exact sampled-data model for nonlinear systems is often unavailable to the controller designers. Recently, Yuz and Goodwin have proposed an accurate approximate model which includes extra zero dynamics corresponding to the relative degree of the continuous-time...
This paper proposes the correlation-based model-free controller design method for the tuning of linear time invariant multivariable controllers. In the proposed method, the controller parameters are tuned directly by using the input/output data obtained as often as the input dimension of the controlled plant. In addition, if the controllers are parameterized linearly with respect to the controller...
This paper presents an application of the continuous-time deadbeat control, which is proposed recently based on the finite pole assignment for linear systems with time delay. The control object used here is a carriage, which is build with LEGO MINDSTORMS NXT as a model of crane for LCD manufacturing line. The implementation includes modeling, design, and implementation for a cheap microprocessor for...
In this paper, a novel design approach based on time-response resemblance of the closed-loop system via particle swarm optimization is proposed to improve performance of the redesigned digital system for continuous-time uncertain interval systems. The design rationale of the proposed approach is to derive a digital controller for the redesigned digital system so that step response sequences corresponding...
A simple method of selecting the LQG dynamic weighting functions is proposed. This involves minimizing the traditional variance-based cost function but with a controller structure that is determined by a dynamic weighting LQG problem. This effectively forces a controller structure that has traditional integral action and controller roll-off terms. The methodology is similar to the so-called restricted-structure...
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