Direct Data-Driven Control for Cascade Control System

This paper combines system identification, direct data-driven control, and optimization algorithm to design two controllers for one cascade control system, that is, the inner controller and the outer controller. More specifically, when these two controllers in the cascade control system are parameterized by two unknown parameter vectors, respectively, the problem of controller design is changed to parameter identification. To avoid the modeling process for the unknown plants in the cascade control system, a direct data-driven control scheme is proposed to identify those two parameter vectors through minimizing two optimization problems, which do not need any knowledge of the unknown plants. Furthermore, the detailed first-order gradient algorithm is applied to solve our constructed optimization problems, and its convergence property is also analyzed. To extend the above idea to design a nonlinear controller in the cascade control system, a direct data-driven scheme is proposed to get one optimal nonlinear controller, by using some spectral knowledge. Finally, one simulation example of flight simulation is used to prove the efficiency of our proposed direct data-driven control for the cascade control system.

Design of a Database-Driven Kansei Feedback Control System Using a Hydraulic Excavators Simulator

In Japan, the level of happiness is considered low despite the gross domestic product (GDP) being high, and a wide gap separates “products wealth” related to GDP and “mental wealth such as Kansei” related to the level of happiness. To fill this gap, products should be controlled to enhance Kansei according to human feelings. However, it is difficult to obtain the Kansei model because of time-variant and nonlinear system. In this paper, the design of a data-oriented cascade control system based on Kansei is newly proposed. In particular, a database-driven controller is designed for a human based on Kansei. The effectiveness of the proposed scheme is verified by using the electroencephalograph (EEG).

A parallel and cascade control system: magnetofection of miR125b for synergistic tumor-association macrophage polarization regulation and tumor cell suppression in breast cancer treatment

A parallel and cascade controllable magnetofection system for synergistic tumor-association macrophage repolarization and tumor cell suppression in breast cancer treatment.

Calculation, modeling and description features of cascade systems in MATLAB

A simulation of a cascade system, during which the problem of determining the transfer function of a cascade system for analytical reception of the transient response occurred, is performed. It is proven that the equivalent object used in many modelling works and the cascade system are not the same. Transients obtained by using an equivalent object are different from real transients in a cascade control system. The analytical expression of the description of cascade system is received as a result of researches.