Two controllers which extend the PD+I fuzzy logic controller to deal with the plant having time varying nonlinear dynamics are proposed. The adaptation ability of the first self tuning PD+I fuzzy logic controller (STPD+I_31) is achieved by adjusting the output scaling factor automatically thereby contributing to significant improvement in performance. Second controller (STPD+I_9) is the simplif...

The 3 degree of freedom (3-DOF) helicopter system is a typical higher-order times, instability, multi-variable, nonlinear and strong coupling control system. This paper presents the analysis of the mathematical model and the basic principle of PID control and fuzzy PID control, which are based on 3-DOF helicopter systems. In allusion to balance control of 3-DOF helicopter system, PID controller...

Delay spikes on Internet paths can cause spurious TCP timeouts leading to significant throughput degradation. However, if TCP is too slow to detect that a retransmission is necessary, it can stay idle for a long time instead of transmitting. The goal is to find a Retransmission Timeout (RTO) value that balances the throughput degradation between both of these cases. In the current TCP implement...

Problem statement: In the real world most of the controlled processes in industries are Multi-Input Multi-Output (MIMO) in nature.They have more than a single controlled variable that should be manipulated in order to achieve the desired control performance. Approach: Control of non linear Multi Input Multi Output processes, it is a difficult task because of the non stationary behaviour, substa...

Model Predictive Control (MPC) is a class of control systems which use a dynamic process model to predict the best future control actions based on past information. Thus, a representative process model is a key factor for its correct performance. Therefore, the investigation of model-plant-mismatch effect is very important issue for MPC performance assessment, monitoring, and diagnosis. This pa...

This paper proposes a self-tuning feedforward active noise control (ANC) system with online secondary path modeling. The stepsize parameters of the controller and modeling filters have crucial rule on the system performance. In literature, these parameters are adjusted by trial-and-error. In other words, they are manually initialized before system starting, which require performing extensive ex...

This talk will consider several types of adaptive control structure for nonlinear systems, based on the approximation of nonlinear functions by neural or fuzzy networks, which are also used to generate the control signals. The dynamic equations will be formulated as a generalisation of direct self-tuning or modelreference adaptation, in order to address the issues of parameter convergence and s...

Abstraet--A state space based dual-rate self-tuning algorithm is proposed for the case where the output sampling rate is slower than the input update rate. A state space innovation model suitable for dual-rate self-tuning control is derived. The parameters of the innovation model together with the states are estimated by a recursive prediction error estimator. The control strategy has been base...

With the advent of computational grids, networking performance over the wide-area network (WAN) has become a critical component in the grid infrastructure. Unfortunately, many high-performance grid applications only use a small fraction of their available bandwidth because operating systems and their associated protocol stacks are still tuned for yesterday’s network speeds. As a result, network...

Since the emergence of PID controllers, control system engineers are in pursuit of more and more sophisticated versions of these controllers to achieve better performance, particularly in situations where providing a control action to even a minimal degree of satisfaction is a problem. This work is an attempt to contribute in this field. Variations in the values of weight, the friction coeffici...