We discuss one aspect of the allocation of new scientists to teaching and research careers. In the past, this allocation problem was treated on the basis of a model with kown constant parameters and as a classical open-loop optimal control problem with the allocation ratio as the sole control variable. The utility function in that treatment took both short term and long term goals into account....

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...

In this chapter we present a brief description of 1 robust control. We first motivate the use of the 1norm and then show how it is used in formulating a control problem with the objective of minimizing the effect of unknown by bounded disturbances. This leads to formulation of the 1 optimal control problem, for which we present a solution using the Scaled-Q method. We then address the problem o...

tthe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. this paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. as a novelty, the proposed controller employs a simple gaussian radial-basis-function network as an uncertainty estimator. the proposed netw...

this paper addresses the problem of the fractional sliding mode control (fsmc) for a mems optical switch. the proposed scheme utilizes a fractional sliding surface to describe dynamic behavior of the system in the sliding mode stage. after a comparison with the classical integer-order counterpart, it is seen that the control system with the proposed sliding surface displays better transient per...