Adaptive Control Processes (eBook)

A Guided Tour

Richard E. Bellman (Autor)

eBook Download: PDF

2015
276 Seiten
Princeton University Press (Verlag)
978-1-4008-7466-8 (ISBN)

Infos

The aim of this work is to present a unified approach to the modern field of control theory and to provide a technique for making problems involving deterministic, stochastic, and adaptive processes of both linear and nonlinear type amenable to machine solution. Mr. Bellman has used the theory of dynamic programming to formulate, analyze, and prepare these processes for numerical treatment by digital computers. The unique concept of the book is that of a single problem stretching from recognition and formulation to analytic treatment and computational solution. Due to the emphasis upon ideas and concepts, this book is equally suited for the pure and applied mathematician, and for control engineers in all fields.Originally published in 1961.The Princeton Legacy Library uses the latest print-on-demand technology to again make available previously out-of-print books from the distinguished backlist of Princeton University Press. These editions preserve the original texts of these important books while presenting them in durable paperback and hardcover editions. The goal of the Princeton Legacy Library is to vastly increase access to the rich scholarly heritage found in the thousands of books published by Princeton University Press since its founding in 1905.

Produkt-Details

• Erscheint lt. Verlag: 8.12.2015
• Reihe/Serie: Princeton Legacy Library
• Reihe/Serie: Princeton Legacy Library
• Verlagsort: Princeton
• Sprache: englisch
• Schlagworte: Accuracy and precision • Adaptive Control • algorithm • analytic continuation • Analytic proof • Approximation • A priori estimate • asymptotic analysis • Bessel function • Big O notation • Boundary value problem • Calculation • Calculus of Variations • Closed-form expression • coefficient • combination • commutative property • Computation • Curse of Dimensionality • Decision-Making • Decision problem • Determination • Diagram (category theory) • differential equation • Dynamic Programming • Equation • Error Term • Euler equations (fluid dynamics) • expected value • Extrapolation • Forcing function (differential equations) • functional equation • fundamental solution • hyperbolic partial differential equation • I0 • idealization • inference • Information Theory • Ingenuity • Initial Condition • Initial Value Problem • integral equation • Integration by parts • Iteration • Iterative Method • Lagrange multiplier • Limiting case (mathematics) • linear differential equation • linear equation • Linear Programming • Lipschitz continuity • logarithm • Markov Chain • Markov decision process • Markov process • Mathematical Analysis • Mathematical Optimization • Mathematical Physics • Mathematical problem • Mathematics • Min-max theorem • Monotonic Function • multistage • Newton's method • nonlinear system • Notation • Numerical analysis • Observation • optimization problem • Order of accuracy • Parameter • partial derivative • partial differential equation • Perturbation theory (quantum mechanics) • Phase space • Probability • Probability Distribution • Probability Theory • Quantity • random sequence • Random Variable • Recurrence relation • result • scientific notation • Sensitivity Analysis • Sequence • sequential analysis • Simultaneous Equations • Special case • state variable • Steady state • stochastic • stochastic approximation • stochastic control • Stochastic process • Sturm–Liouville theory • theory • Uncertainty • Variable (mathematics) • Variational Principle
• ISBN-10: 1-4008-7466-1 / 1400874661
• ISBN-13: 978-1-4008-7466-8 / 9781400874668