in the present paper, we develop a modified pseudospectral scheme for solving an optimal control problem which is governed by a switched dynamical system. many real-world processes such as chemical processes, automotive systems and manufacturing processes can be modeled as such systems. for this purpose, we replace the problem with an alternative optimal control problem in which the switching t...

in acceptance-sampling plans, the items of an incoming lot are inspected one by one. if the number of nonconforming items in sample is equal zero, the lot is accepted but if the number of nonconforming items is equal to one, then second sample is taken and the policy of zero acceptance number would be applied for the second sample. in this paper, a mathematical model is developed to design sing...

The increasing need for electrical energy, limited fossil fuel reserves, and the increasing concerns with environmental issues call for fast development in the area of distributed generations (DGs) and renewable energy sources (RESs). A Microgrid (MG) as one of the newest concepts in the power systems consists of several DGs and RESs that provides electrical and heat power for local loads. Incr...

Flexible manipulators are extensively used in industries. A theoretical analysis of intelligent tracking controller based on emotional learning model in mammalians brain for single-link flexible-joint manipulator is presented. Brain emotional learning based intelligent controller (BELBIC) is an intelligent controller based on the model of emotional part of brain. In this paper, BELBIC is applie...

This research work describes an intelligent and modular architecture for controlling the milling process. For this purpose, it is taking into account the admissible input cutting parameters given by the stability lobes and restrictions of the system, calculating the quasi-optimal cutting parameters. The quasi-optimal cutting parameters are obtained considering a cost function with multi-objecti...

This paper presents an Intelligent control based fuzzy logic for Sensorless speed control of induction motor drive. The proposed scheme used indirect vector control with fuzzy logic controller which gives optimal condition for maximum torque both in steady state and transient condition and has ability to plan via decomposition of a complex task into manageable subtasks and it has auto tuning pr...

The Cybernetics Intelligence Research Group (CIRG) at the University of Reading, UK, is made up of seven full-time academics plus various research assistants and PhD students. We broadly define cybernetic intelligence as the study of intelligence and its applications. Members of CIRG are internationally active in the following areas: embodied machine intelligence (for example, learning mobile r...

this paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. the proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. this kind of control law is in the class of torque-based control in which the joint torques are generated by permanen...

nuclear power reactors are, in nature nonlinear and time varying. these characteristics must be considered, if large power variations occur in their working regime. in this paper a robust optimal gain scheduling controller for regulating the power of a nuclear reactor has been designed and simulated. the proposed controller is capable of regulating power levels in a wide power range (10% to 100...