2 edition of Study of optimal and adaptive control theory found in the catalog.
Study of optimal and adaptive control theory
Carroll D. Johnson
by National Aeronautics and Space Administration; for sale by the Clearinghouse for Federal Scientific and Technical Information, Springfield, Va. in [Washington]
Written in English
|Statement||by C. D. Johnson.|
|Series||NASA, CR-715, NASA contractor report ;, NASA CR-715.|
|Contributions||George C. Marshall Space Flight Center., University of Alabama in Huntsville. Research Institute.|
|LC Classifications||TL521.3.C6 A3 no. 715|
|The Physical Object|
|Pagination||iii, 113 p.|
|Number of Pages||113|
|LC Control Number||67061108|
Control Theory with Applications to Naval Hydrodynamics by R. Timman, The lectures present an introduction to modern control theory. Calculus of variations is used to study the problem of determining the optimal control for a deterministic system without constraints and for one with constraints. ( views) Stochastic Modeling and Control. This collection of historically and technically important papers follows a logical line of development from early work in mathematical control theory to studies in adaptive control processes. The book touches upon all the major themes: stability theory, feedback control, time lag, prediction theory, dynamic programming, "bang-bang" control, and maximum principles.
Topics include 1) basic knowledge of adaptive control and optimal control, 2) concept of model reference adaptive control system (MRACS) and its properties, and 3) concept of model predictive control (MPC) and its solution. Abstract: This study presents a unified resilient model-free reinforcement learning (RL) based distributed control protocol for leader-follower multi-agent systems. Although RL has been successfully used to learn optimal control protocols for multi-agent systems, the effects of adversarial inputs are by: 1.
Another great book is "Optimal control theory: An introduction to the theory and its applications" by Peter Falb and Michael Athans, also published by Dover. Also, I would recommend looking at the videos of the edX course "Underactuated Robotics", taught by professor Russ Tedrake of MIT. Yang Zhu is a postdoctoral researcher in control theory and engineering at Tel Aviv av Krstic is distinguished professor of mechanical and aerospace engineering at the University of California, San Diego, where he also serves as senior associate vice chancellor for research. He is the coauthor of many books, including Nonlinear and Adaptive Control Design (Wiley) and Adaptive.
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Study of optimal and adaptive control theory. [Washington] National Aeronautics and Space Administration; for sale by the Clearinghouse for Federal Scientific and Technical Information, Springfield, Va.  (OCoLC) Material Type: Government publication, National government publication: Document Type: Book: All Authors / Contributors.
NASA CR STUDY OF OPTIMAL AND ADAPTIVE CONTROL THEORY By C. Johnson Distribution of this report is provided in the interest of information exchange. Responsibility for the contents resides in the author or organization that prepared it. The theory of optimal control is concerned with determining such controls which, at minimum cost, either direct the system along a given trajectory or enable it to reach a given point in its state space.
This textbook is a straightforward introduction to the theory of optimal control with an emphasis on presenting many different by: Adaptive Control and Optimal Control methods.
The book shows how ADP can be used to design a family of adaptive optimal control algorithms that converge in real-time to optimal control solutions by measuring data along the system Size: 2MB.
This book presents a class of novel, self-learning, optimal control schemes based on adaptive dynamic programming techniques, which quantitatively obtain the optimal control schemes of the systems. It analyzes the properties identified by the programming methods, including the convergence of the iterative value functions and Cited by: 1.
This highly regarded graduate-level text provides a comprehensive introduction to optimal control theory for stochastic systems, emphasizing application of its basic concepts to real problems.
The first two chapters introduce optimal control and review the mathematics of control and estimation. This book fills a gap in the literature by providing a theoretical framework for integrating techniques from adaptive dynamic programming (ADP) and modern nonlinear control to address data-driven optimal control design challenges arising from both parametric and dynamic uncertainties.
There are circumstances (e.g. fever) in which the presumed set-point mechanism appears to break down. This paper evaluates a novel set-level adaptive optimal thermal control paradigm inspired by Hebbian covariance synaptic adaptation, previously proposed based on its potential to predict the homeostatic respiratory by: 5.
AND OPTIMAL ADAPTIVE CONTROL In this book we have presented a variety of methods for the analysis and design of optimal control systems. Design has generally been based on solving matrix design equations assuming full knowledge of the system dynamics.
Optimal control is fundamentally a backward-in-time problem, as we have seen espe. Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline.
The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control. 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 optimization/5(5). The engineering objective of high performance control using the tools of optimal control theory, robust control theory, and adaptive control theory is more achiev-able now than ever before, and the need has never been greater.
Of course, when we use the term high performance control. This book focuses on a specific subclass of adaptive control, namely, learning-based adaptive control.
As systems evolve during time or are exposed to unstructured environments, it is expected Author: Mouhacine Benosman. A NEW EDITION OF THE CLASSIC TEXT ON OPTIMAL CONTROL THEORY. As a superb introductory text and an indispensable reference, this new edition of Optimal Control will serve the needs of both the professional engineer and the advanced student in mechanical, electrical, and aerospace engineering.
Adaptive controls were inspired and created for flight controls in the s. Adaptive control theory is concerned with modification of the control laws based on time-varying parameters, such as change in the overall mass of an airplane as it consumes fuel during its flight.
From this perspective, control theory (CT) is an interesting research avenue for the supply chain management (SCM). In this paper, the applicability of optimal CT to SCM is investigated. Our analysis is based on the fundamentals of control and systems theory and experimental by: Relations to classical control theory are emphasized throughout the text, and a root-locus approach to steady-state controller design is included.
A chapter on optimal control of polynomial systems is designed to give the reader sufficient background for further study in the field of adaptive control.5/5(1).
Control of Complex Systems Theory and Applications. Book adaptive control for a robotic arm, and adaptive optimal control (incorporated into an adaptive control scheme).
presented gives the reader a unique opportunity to explore a comprehensive overview of a field of great interest to control and system theorists. This book is intended.
Request PDF | On Jan 1,Frank L. Lewis and others published Cooperative control of multi-agent systems. Optimal and adaptive design approaches | Find, read and cite all the research you need. Optimal control and estimation by Stengel is inexpensive and has a lot of depth, but don't expect any hand holding Optimal state estimation by Simon has lots of information on kalman filters - all math - no code For me - probablistic robotics by Thrun et al was the most understandable - it is geared.
Optimal, Predictive and Adaptive Control | Edoardo Mosca | download | B–OK. Download books for free. Find books.The topics focus on robustness, design trade-offs, and optimality.
Most of the book develops classical linear theory. The last part of the book considers robustness with respect to nonlinearity and explicitly nonlinear extensions, as well as advanced topics such as adaptive control and model predictive control.The area of adaptive control has grown to be one of the richest in terms of algorithms, design techniques, analytical tools, and modiﬂcations.
Several books and research monographs already exist on the topics of parameter estimation and adaptive control. Despite this rich literature, the ﬂeld of adaptive control may easily appear.