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In this paper a combination of brain emotional learning based intelligent controllers (BELBICs) is employed to control an unidentified practical overhead crane. The proposed controller is a model free controller and has the capability to deal with multi-ob ...
A powerful approach for dynamic optimization in the presence of uncertainty is to incorporate measurements into the optimization framework so as to track the necessary conditions of optimality (NCO), the so-called NCO- tracking approach. For nonsingular co ...
This paper presents a microelectronic emulation approach for high-speed power system computation. First, the problems of existing power system simulators are detailed. This shows that microelectronic emulation is a possible solution for solving the speed p ...
This paper introduces a microelectronic emulation approach for high-speed power system computation. First, the problems of existing power system simulators are detailed. This shows that microelectronic emulation is a possible solution for the speed problem ...
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This dissertation considers mechatronic systems driven by piezoelectric ultrasonic motors (PUM). The focus is set on optimal system design and sensorless position control. Mechatronic industry faces the challenge to deliver ever more efficient and reliable ...
A powerful approach for dynamic optimization in the presence of uncertainty is to incorporate measurements into the optimization framework so as to track the optimum. For nonsingular control problems, this can be done by tracking active constraints along b ...
Dynamic optimization provides a unified framework for improving process operations while taking operational constraints into account. In the presence of uncertainty, measurements can be incorporated into the optimization framework for tracking the optimum. ...