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This paper considers the problem of block-oriented Wiener systems control. Designing controllers for Wiener systems face many challenges, for instance, parameter uncertainty and lack of state measurement. To address these issues, the input-output response of a class of Wiener systems is represented with a simple fractional-order model, then a closed-loop model reference fractional adaptive controller...
Unified Modeling Language (UML) is currently accepted as the standard for modeling software and control systems since it allows to concentrate on different aspects of the system under design. However, UML lacks formal semantics and, hence, it is not possible to apply, directly, mathematical techniques on UML models to verify them. UML does not feature explicit semantics to model flexible control systems...
This study deals with the formal modeling and verification of Adaptive Probabilistic Discrete Event Control Systems (APDECS). A new formalism called Generalized Reconfigurable Timed Net Condition Event Systems (GR-TNCES) is proposed for the optimal functional and temporal specification of APDECS. It is composed of behavior and control modules. This formalism is used for the modeling and control of...
Goal: The goal of this paper is to propose a model-based control design framework, adapted to the development of control modules for medical devices. A particular example is presented in which instantaneous heart rate is regulated in real-time, by modulating, in an adaptive manner, the current delivered to the vagus nerve by a neuromodulator. Methods: The proposed framework couples a control module,...
pH neutralization process is considered as a difficult control problem, because of its high nonlinearity dynamics, time-varying properties and its sensitivity to changes around the neutralization point. Therefore, there is a need to design a robust control algorithm to handle this problem. In this paper a preliminary investigation into application of feedback linearization in the dynamic modeling...
Stop&go cruise system is an extension to ACC which is able to automatically accelerate and decelerate the vehicle in city traffic. There have been attempts to model stop&go waves via microscopic and macroscopic traffic models. But predicting the future state of the maneuver has not attracted much attention. The purpose of this study is to design adaptive neuro-fuzzy inference system (ANFIS)...
Taking the small unmanned four-rotor as a research object, the dynamic model of the small four-rotor was built according to Newton-Euler formaLism. Adaptive Inverse Control (AIC) Theory was used in the control of the small unmanned four-rotor for the first time and the attitude stabiLization control of the small unmanned four-rotor was reaLized on the experimental platform. The simulation results...
This paper presents a new state feedback adaptive controller for the ball and beam system. The proposed controller is compared to the adaptive backstepping controller. First, the controller equations are obtained from the system linear model around the equilibrium point. Next, controller performances are evaluated in simulation using the system linear and the nonlinear models. The simulation results...
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