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We study a closed-loop control system with state feedback transmitted over a noisy discrete memoryless channel. With the objective to minimize the expected linear quadratic cost over a finite horizon, we propose a joint design of the sensor measurement quantization, channel error protection, and controller actuation. It is argued that despite that this encoder-controller optimization problem is known...
An LMI-based method for the simultaneous system identification and controller design is proposed in the paper. With the fact that a class of system identification problem results in an LMI optimization problem a model update with a constraint on the closed-loop performance in an approximate sense is proposed. By combining the LMI-based identification method with the LMI-based conventional controller...
This paper study the multi-objective optimization problem of elevator group control systems by using the Markov Decision Process model. Define the Agent to be the leaner and decision-maker of the MDP model. And then using reinforcement learning Algorithm combined with generic method defines the elements of this model. Moreover we use SARSA(λ) value iteration algorithm which was selected to iterative...
The paper suggests a new iterative feedback tuning (IFT)-based approach to the design of optimal state feedback control systems. Several signal processing aspects are analyzed to reduce the number of experiments in two control system structures. The presentation is focused on second-order positioning systems applied to manufacturing and robotics leading to an original IFT algorithm. Real-time results...
A new design method of the repetitive control system for linear systems with time-varying norm-bounded uncertainties is presented, which can design a low-pass filter of the repetitive controller and a stabilizing controller simultaneously in the repetitive control system. Using a Lyapunov functional for the repetitive control system, sufficient conditions are derived in terms of a linear matrix inequality...
Integrated design of structure-control combined system enhances overall performance. Classical two-step sequential or iterative designs served as a guide to improve the performance. However, this separate-discipline approach fails to guarantee overall optimality. Recently, simultaneous design methods have been proposed via non-convex numerical optimization of the parameters of both plant and controller...
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