File Name: dynamic programming and modern control theory .zip
- Dynamic Programming and Optimal Control
- Control theory
- Dynamic Programming and Modern Control Theory
Optimal Control theory is concerned with the problem of how to govern systems. Mathematical formulations of such a problem may be very general, and then, the analysis and the results of this mathematical problem may be applied to numerous and varied concrete situations, from industrial processes to biology and medicine. Report bugs here.
Dynamic Programming and Optimal Control
Control theory deals with the control of dynamical systems in engineered processes and machines. The objective is to develop a model or algorithm governing the application of system inputs to drive the system to a desired state, while minimizing any delay , overshoot , or steady-state error and ensuring a level of control stability ; often with the aim to achieve a degree of optimality. To do this, a controller with the requisite corrective behavior is required. This controller monitors the controlled process variable PV , and compares it with the reference or set point SP. The difference between actual and desired value of the process variable, called the error signal, or SP-PV error, is applied as feedback to generate a control action to bring the controlled process variable to the same value as the set point. Other aspects which are also studied are controllability and observability. This is the basis for the advanced type of automation that revolutionized manufacturing, aircraft, communications and other industries.
ISBNs: Vol. I, 4th Edition , Vol. I, 4th ed. II, 4th edition Vol. II, i.
This paper deals with the comparison principle for the first-order ODEs of the Hamilton-Jacobi-Bellman and Hamilton-Jacobi-Bellman-Isaacs type which describe solutions to the problems of reachability and control synthesis under complete as well as under limited information on the system disturbances. Since the exact solutions require fairly complicated calculation, this paper presents the upper and lower bounds to these solutions, which in some cases may suffice for solving such problems as the investigation of safety zones in motion planning, verification of control strategies or of conditions for the nonintersection of reachability tubes, etc. For systems with original linear structure it is indicated that present among the suggested estimates are those of ellipsoidal type, which ensure tight approximations of the convex reachability sets as well as of the solvability sets for the problem of control synthesis. This is a preview of subscription content, access via your institution. Rent this article via DeepDyve. Pontryagin, V. Boltyanskii, R.
Semantic Scholar extracted view of "Dynamic Programming and Modern Control Theory" by R. Bellman et al.
Dynamic Programming and Modern Control Theory
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Published January 28, by Academic Press. Written in English. Dynamic Programming for Impulse Feedback and Fast Controls offers a description of feedback control in the class of impulsive inputs. This book deals with the problem of closed-loop impulse control based on generalization of dynamic programming techniques in the form of variational inequalities of the Hamilton—Jacobi—Bellman type. This book presents a short yet thorough introduction to the concepts of Classic and Modern Control Theory and Design.
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