Self-tuning adaptive control technique has the advantage of being able to track the system operating conditions so that satisfactory control action can always be produced. Self-tuning algorithms can be implemented easily. Because the power systems are usually time varying non-linear systems and their parameters vary, adaptive controllers are very suitable for power systems. Characteristics of a...

In steady state of process systems, reductions in cost and advances in quality are continuously pursued. Some process systems are considered time-variant systems with system characteristics that change according to the conditions and environments of the system operations. Previously, one of the authors proposed a design scheme of a selftuning PID control system, in which a user-specified parame...

Aiming at the nonlinear characteristic of ultrasonic motor, some control strategies have been proposed to control the rotating speed of ultrasonic motor. But most of these strategies are too complex to realize using a low-cost embedded device. In this paper, a simple fuzzy speed controller is designed for ultrasonic motor. Until now, there has no mature and theoretic design method of fuzzy cont...

Active control of thermoacoustic instabilities in continuous premixed combustion processes is being increasingly investigated for operating at lean low NOX conditions. Recently, we have developed a model-based approach for active control design which accounts for the underlying acoustics, heat release dynamics, and sensor and actuator dynamics. While this model captures a number of the dominant...

This paper mainly deals with the controller design for a class of networked control system (NCS) with the presence of networkinduced delay and data packet dropout. Aiming at the stochastic and time-varying characteristics of delay and dropout, a NCS model with uncertain linear parameters was established by converting the uncertainties of delay and dropout into the uncertainties of the coefficie...

For a class of switching motion control systems, in particular scanning stage systems, a self-tuning method is proposed to find the optimal switching control parameters. In this method, a combined model/data-based approach is used to derive the gradients with respect to these parameters. The gradients are used in an update scheme which subsequently renders an updated set of parameters. Each set...

In this paper, a simple and effective scheme for tuning of fuzzy PI-PD controller based on fuzzy logic is proposed. Here the input scaling factors are tuned online by gain updating factors where values are determined by rule base with error and change in error as inputs according to the required controlled process. The performance comparison of conventional fuzzy logic controller, auto-tuned fu...

Robot manipulators are highly coupled nonlinear systems, therefore real system and mathematical model of dynamics used for control system design are not same. Hence, fine-tuning of controller is always needed. For better tuning fast simulation speed is desired. Since, Matlab incorporates LAPACK to increase the speed and complexity of matrix computation, dynamics, forward and inverse kinematics ...

Robot manipulators are highly coupled nonlinear systems, therefore real system and mathematical model of dynamics used for control system design are not same. Hence, fine-tuning of controller is always needed. For better tuning fast simulation speed is desired. Since, Matlab incorporates LAPACK to increase the speed and complexity of matrix computation, dynamics, forward and inverse kinematics ...