The performance optimization of induction motor speed control system is studied and self-tuning PID controller based on diagonal recurrent neural network (DRNN) is presented in this paper. Neural network control does not require the precise mathematical model of the system, and it only needs to train neural network online or offline, then use the training results to design the control system. I...

In the paper, a new multivariable self-tuning PID controller design scheme is proposed which has a static matrix precompensator to reduce the interaction terms of the process transfer function matrix adjusted by an online estimator. The p £ p precompensated multivariate system is then controlled via ‘p’ univariate self-tuning PID controllers whose parameters are adjusted by a second identifier ...

This In this paper, a new self-tuning control scheme is developed for a class of time-delay chaotic systems. It is implemented by using fuzzy sliding-mode control with self-tuning method. The adjustment of the membership functions are restricted within a stable range derived from a stability analysis. The adaptation laws are derived using a Lyapunov stability analysis, so that both system track...

Self-* systems are self-organizing, self-configuring, self-healing, self-tuning and, in general, selfmanaging. Ursa Minor is a large-scale storage infrastructure being designed and deployed at Carnegie Mellon University, with the goal of taking steps towards the self-* ideal. This paper discusses our early experiences with one specific aspect of storage management: performance tuning and projec...

A back-propagation neural network is applied to a nonlinear self-tuning tracking problem. Traditional self-tuning adaptive control techniques can only deal with linear systems or some special nonlinear systems. The emerging back-propagation neural networks have the capability to learn arbitrary nonlinearity and show great potential for adaptive control applications. A scheme for combining back-...

With the ever-increasing wireless/wired data applications recently, considerable efforts have focused on the design of distributed explicit rate flow control schemes for multi-inputmulti-output service. This paper describes two novel wireless/wired multipoint-to-multipoint multicast flow control schemes, which are based on the distributed self-tuning proportional integrative plus derivative (SP...

The paper presents design and experimental validation of a stable self-tuning PID controller for three degrees of freedom (3-DOF) helicopter. At first, it is proposed a self-tuned proportional-integral-derivative (PID) controller for a class of uncertain second order multiinput multi-output nonlinear dynamic systems to which the 3-DOF helicopter dynamic model belongs. Within this scheme, the PI...

A robust fuzzy model-following control system is proposed for the control of robot manipulators. The application field to -link robot manipulators with torque disturbance and measurement noise is addressed. The control objective is obtained by tailoring a nominal adaptation process of parameters to implement appropriate function approximation and facilitating a self-tuning mechanism on the cons...