An observer based adaptive PID controller with micro genetic algorithm (MGA) tuning its parameters is proposed in this paper. The task of the controller is to track the desired trajectory of a nonlinear system as best as it could. The proposed adaptive PID controller consists of 3 components including the PID controller, the control compensating for the external disturbance and the modeling err...

The paper proposes a novel framework for state observer design, in which learning-based observers are incorporated. aim of the method is to provide framework, able guarantee limitation observation error, even if error under all scenarios cannot be verified. based on robust H∞ design method, guarantees resulted observer. Moreover, process extended with controller leads joint controller-observer ...

This paper presents experimental results for two adaptive nonlinear controllers applied to a variable reluctance motor (VRM). The rst controller requires both rotor position and velocity (full state) feedback, while the latter is an observer-based backstepping-type output feedback controller, requiring only rotor position measurement. Velocity for the full-state controller is estimated using a ...

in this paper, a reaction system consisting of two parallel, non-isothermal autocatalytic reactions in a continuous stirred tank reactor (cstr) has been considered. reactor chaotic behavior is possible for certain values of system parameters. two types of controllers are designed and compared in order to control both the reactor temperature and the product concentration. the first controller is...

Abstract: This paper presents a convex optimization method for observer-based mixed H2/H∞ control design of linear systems with time-varying state, input and output delays. Delaydependent sufficient conditions for the design of a desired observer-based control are given in terms of linear matrix inequalities (LMIs). An observer-based controller which guarantees asymptotic stability and a mixed ...

This paper is concerned with an observer-based guaranteed cost control (GCC) problem for networked control systems (NCSs) with random data packet dropouts. Both the sensor-to-controller (S/C) and controller-to-actuator (C/A) packet dropouts are modeled by two mutually independent stochastic variables satisfying Bernoulli binary distribution. The resultant observer-based controller guarantees th...

Abstract: This paper presents a convex optimisation method for observer-based control design of LPV neutral systems. Utilising the polynomials parameter-dependent quadratic functions and a suitable change of variables, the required sufficient conditions with high precision for the design of a desired observer-based control are established in terms of delay-dependent parameter-independent linear...

In this work we focus on estimation-based networked predictive control of nonlinear systems. We propose an output feedback controller based on the combination of a high-gain observer with a Lyapunov-based model predictive controller that takes data losses explicitly into account both in the controller design and in the implementation. We provide precise bounds on the data loss sequence such tha...