Optimal control problems for systems linearly deopending on the control input often admit bang-bang type solutions where control takes exclusively extremal values. Over the last years substantial results on optimality conditions and the solution structure stability have been obtained. In the paper, we analyze once more the related finite-dimensional program with switching points localizations t...

metal oxide surge arrester accurate modeling and its parameter identification are very important for insulation coordination studies, arrester allocation and system reliability. since quality and reliability of lightning performance studies can be improved with the more efficient representation of the arresters´ dynamic behavior. in this paper, big bang – big crunch and hybrid big bang – big cr...

abstract this paper presents a multiobjective power control algorithm that updates the transmitted power based on local information. the proposed algorithm is expanded by using multiobjective optimization schemes. the objectives to be optimized in this paper are determined so as to reduce the sinr fluctuations as well as maintaining the sinr to an acceptable level with minimizing an average tra...

The Switch Point Algorithm is a new approach for solving optimal control problems whose solutions are either singular or bang-bang both and bang-bang, which possess finite number of jump discontinuities in an at the points time where solution structure changes. Problems this class can often be reduced to optimization over switching points. Formulas derived derivative objective with respect swit...

This study explores the effectiveness of applying optimal control techniques to the flight control law clearance problem, which is the challenge of ensuring the safety of an aircraft’s flight control system for all allowable inputs. The main criteria chosen were the angle-ofattack limit exceeding criterion in the longitudinal plane, and the angle-of-sideslip limit exceeding criterion in the lat...