This project is based on the self-tuning fuzzy logic controller, for the design of a temperature control process , the performance of the system should be reliable. The proposed control system combines the advantages of Self Tuning and Fuzzy Logic Control schemes. In order to evaluate the performance of the proposed control system methods, results from simulation of the process are presented. T...

This paper describes the design, specification, and performance of a Loss Tolerant Rate Controller (LTRC) for use in controlling reliable multicast senders. The purpose of this rate controller is not to adapt to congestion (or loss) on a per loss report basis (such as per received negative acknowledgment), but instead to use loss report information and perceived state to decide more prudent cou...

In this paper, a mathematical model of flexible single link robotic manipulator that has a rotational base and translational motion has been developed using lagrangian method. The control strategies like PID, LQR and State feedback controller have been implemented for controlling the tip position of flexible single link robotic manipulators through MATLAB. State feedback controller uses pole pl...

Legged robots can, in principle, traverse a large variety of obstacles and terrains. In this paper, we describe a successful application of reinforcement learning algorithm to the problem of negotiating obstacles with a quadruped robot. Our algorithm is based on a two-level hierarchical decomposition of the task, in which the high-level controller selects the sequence of foot-placement position...

Contingency analysis has been considered as critical issue in power systems because it initiates failures transmission line and failure equipment. Hence, this paper is presented Red Deer Algorithm (RDA) to manage contingency condition for improving security of the system. The proposed algorithm utilized solve Optimal Power flow (OPF) with multi-objective functions. function consisting six singl...

Reliable stabilization of linear time-invariant multiinput/multi-output plants is considered using a two-channel decentralized controller configuration. Necessary and sufficient conditions are obtained for existence of reliable controllers that maintain stability under the possible failure of either one of the two controllers. All decentralized controllers that achieve reliable stabilization ar...

This paper proposes a simple controller for sailboat robots. The resulting controller is simple to implement and its parameters are easy to tune. Its complexity is low enough to be applicable for sailing robots with very limited computation power. The presentation contains all the necessary details to allow a fast and reliable implemention of a sailbot robot controller which follows a line. The...

This thesis proposes an intelligent multiple-controller framework for complex systems that incorporates a fuzzy logic based switching and tuning supervisor along with a neural network based generalized learning model (GLM). The framework is designed for adaptive control of both Single-Input Single-Output (SISO) and MultiInput Multi-Output (MIMO) complex systems. The proposed methodology provide...