23 May | Journal of Guidance, Control, and Dynamics, Vol. 23, No. 1 The singular linear-quadratic regulator problem and the Goh-Riccati equation Singular fuel-optimal space trajectories based on linearization about a point in circular orbitCited by: This book is a further development of the theory of parametric control. It includes: numerical methods of testing (verification) of software implementation of mathematical models by assessing the stability of mappings defined by the model sufficient conditions for the existence of the solutions of some types of problems of dynamic optimization the existence of continuous dependence of optimal. Optimal control theory is the science of maximizing the returns from and minimizing the costs of the operation of physical, social, and economic processes. Geared toward upper-level undergraduates, this text introduces three aspects of optimal control theory: dynamic programming, Pontryagin's minimum principle, and numerical techniques for trajectory rs 1 and 2 focus on. Introduction to Clustering Large and High-Dimensional Data by Jacob Kogan and a great selection of related books, art and collectibles available now at Bifurcation of Extremals in Optimal Control (Lecture Notes in Economic and Mathematical Systems) Bifurcation of Extremals in Optimal Control. Kogan, Jacob. Published by Springer (

A conventional optimal control approach to controlling chaotic systems by minimum parameter perturbation sequences, in the sense of “total control energy,” is suggested in this short by: There are numerous excellent books on optimal control. Commonly used books which we will draw from are Athans and Falb [2], Berkovitz [4], Bryson and Ho [5], Pontryagin et al [6], Young [7], Kirk [8], Lewis [9] and Fleming and Rishel[10]. The history of optimal control is quite well rooted in antiquity, with allusion being made to Dido, the. It demonstrates that this theory offers a constructive methodology for middle-term forecasting, macroeconomic analysis and estimation of optimal values of economic characteristics on the basis of advanced global mathematical models, namely Computable General Equilibrium (CGE) Model, Dynamic Stochastic General Equilibrium (DSGE) Model, and. () Examples of optimal controls for linear stochastic control systems with partial observation. Stochastics , () A solvable stochastic control problem in hyperbolic three by:

A comprehensive resonant optimal control method is developed and discussed for suppressing homoclinic and heteroclinic bifurcations of a general one-degree-of-freedom nonlinear oscillator. Based on an adjustable phase shift, the primary resonant optimal control method is by: Jacob Kogan Ph.D. Weizmann Institute of Science, Research interests: Optimal Control Theory Finite Dimensional Optimization Bifurcation of Extremals in Optimal Control Current Teaching (Spring ): MATH ; MATH Academic Calendars Religious Holidays. Optimal Control Theory for Applications - Ebook written by David G. Hull. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Optimal Control Theory for Applications. LIST OF PUBLICATIONS. 1. with H. Schättler, An optimal control approach to cancer chemotherapy with tumor-immune system interactions, in Mathematical Models of Tumor-Immune System Dynamics, Springer (editors A. Eladaddi, ), (to appear).. 2. with H. Schättler and H. Maurer, Sufficient conditions for strong local optimality in optimal control problems with L 2-type objectives and.