Discrete-Time Inverse Optimal Control for Nonlinear Systems (Record no. 4473)

MARC details
000 -LEADER
fixed length control field 02489 a2200289 4500
001 - CONTROL NUMBER
control field 1351831801
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317111605.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042017xx 80 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781351831802
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 81.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code TJF
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code THY
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code TJF
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code THRB
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code TEC007000
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code TEC008000
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code 003.83
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Edgar N. Sanchez
245 10 - TITLE STATEMENT
Title Discrete-Time Inverse Optimal Control for Nonlinear Systems
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 20171219
300 ## - PHYSICAL DESCRIPTION
Extent 268 p
520 ## - SUMMARY, ETC.
Expansion of summary note Discrete-Time Inverse Optimal Control for Nonlinear Systems proposes a novel inverse optimal control scheme for stabilization and trajectory tracking of discrete-time nonlinear systems. This avoids the need to solve the associated Hamilton-Jacobi-Bellman equation and minimizes a cost functional, resulting in a more efficient controller. Design More Efficient Controllers for Stabilization and Trajectory Tracking of Discrete-Time Nonlinear Systems The book presents two approaches for controller synthesis: the first based on passivity theory and the second on a control Lyapunov function (CLF). The synthesized discrete-time optimal controller can be directly implemented in real-time systems. The book also proposes the use of recurrent neural networks to model discrete-time nonlinear systems. Combined with the inverse optimal control approach, such models constitute a powerful tool to deal with uncertainties such as unmodeled dynamics and disturbances. Learn from Simulations and an In-Depth Case Study The authors include a variety of simulations to illustrate the effectiveness of the synthesized controllers for stabilization and trajectory tracking of discrete-time nonlinear systems. An in-depth case study applies the control schemes to glycemic control in patients with type 1 diabetes mellitus, to calculate the adequate insulin delivery rate required to prevent hyperglycemia and hypoglycemia levels. The discrete-time optimal and robust control techniques proposed can be used in a range of industrial applications, from aerospace and energy to biomedical and electromechanical systems. Highlighting optimal and efficient control algorithms, this is a valuable resource for researchers, engineers, and students working in nonlinear system control.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Fernando Ornelas-Tellez
Relationship A01

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