Mathematical Modelling, Nonlinear Control and Performance Evaluation of a Ground Based Mobile Air Defence System
Constantinos Frangos
2021-ж. апр. · Mechanisms and Machine Science 76-китеп · Springer Nature
5,0star
2 сын-пикирreport
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300
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In this book, the author deals with the mathematical modelling, nonlinear control and performance evaluation of a conceptual anti-aircraft gun based mobile air defence system engaging an attacking three-dimensional aerial target.
This book is of interest to academic faculty, graduate students and industry professionals working in the fields of mathematical modelling and control, ground vehicles, mobile air defence systems and other related topics.
This book is of interest to academic faculty, graduate students and industry professionals working in the fields of mathematical modelling and control, ground vehicles, mobile air defence systems and other related topics.
Баалар жана сын-пикирлер
5,0
2 сын-пикир
Автор жөнүндө
Constantinos Frangos obtained the B.Eng.(Electronic Engineering)(cum laude) degree from the University of Pretoria, 1979-1982, the M.S.(Industrial Engineering) degree from Stanford University, 1983-1984, and the Ph.D.(Electronic Engineering) degree from the University of Pretoria, 1986-1988. He worked initially in industry where he specialized in decision and control with an emphasis on mathematical modelling and control of dynamic systems. He subsequently worked for twenty years in academia. He was Associate Professor, Dept. of Electrical, Electronic and Computer Engineering, University of Pretoria, 1989-1998, where he co-founded the Laboratory for Decision and Control with Prof. Yaakov Yavin (1935-2006). He lectured undergraduate courses including Control Systems 3 and 4, Digital Control 4, and a postgraduate course Optimal Control Theory. He co-developed with Prof. Yavin feasible control that can be used to design control strategies for linear and nonlinear dynamic systems such that a wide range of performance specifications and constraints are satisfied. Feasible control practically circumvents certain difficulties of optimal control. He was Full Professor, Dept. of Statistics, Rand Afrikaans University/University of Johannesburg, 2000-2010, where he lectured undergraduate courses including Statistics for Electrical Engineers 3, Stochastic Signal Processing 4, and postgraduate courses including Markov Decision Processes, Introduction to Optimization Theory. Since 2010, Dr. Frangos is working privately as an electrical engineer in decision and control. He is a registered Professional Engineer (Pr. Eng.) in South Africa and a senior member of the South African Institute of Electrical Engineers (SAIEE) and Institute of Electrical and Electronics Engineers (IEEE).
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