In this book, the author provides detailed assumptions and derivations in the stochastic modelling and performance evaluation of anti-aircraft gun-based air defence systems engaging attacking three-dimensional aerial targets.
Beginning with the stochastic modelling of the effect of anti-aircraft gun disturbances, the author goes on to consider the flight dynamics model of the projectile, the formulation and numerical solution to the fire control problem, and calculations for hit probability in scenarios involving either one or multiple anti-aircraft guns. Finally, the author presents the computations necessary to delineate a continuous ground impact region that has a high probability of enclosing the ground impact points of projectiles fired.
This book is of interest to both academic researchers and graduate students in the field of defence, as well as to industrial professionals.
Introduction.- Stochastic Modelling of the Effect of Anti-Aircraft Gun
Disturbances.- Flight Dynamics Model of the Projectile.- Geometric
Description of the Three-Dimensional Body of the Attacking Aerial Target.-
Formulation and Numerical Solution of the Basic Fire Control Problem.-
Computation of the Probability that n Projectiles out of a Burst of N
Projectiles will Hit the Aerial Target: One AA Gun.- Computation of Ground
Impact Regions and Ground Impact Velocities of Projectiles.- References.-
Index.
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 thata 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).
