Energy costs have dramatically increased in data center networks as an increasing number of large-scale Internet applications are used. In software-defined vehicular (SDVN), the communication delay between two vehicles and controller will climb up increases. This requires more controllers to provide service minimize latency. More lead high energy costs. Therefore, their placement, so-called pla...

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...

Nonlinear plants can often be modelled as linear parameter varying (LPV) plants for which a number of techniques exist for control synthesis. However, there are some systems for which such a technique presents difficulties. In this paper, we consider one such system for which we propose a pole placement method using state feedback in order to cancel parameters variation of LPV plants. Hence, an...

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...

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...

This contribution demonstrates possibility of delta models for identification and process control of higher order plants by the help of self-tuning delta controllers. Simulation will show behaviour of second order delta controllers used for control of higher order plants. It is used pole placement method and method Ziegler-Nichols for syntheses of controller, comparison is done for different st...