Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/593102
Title: A generalized methodology for the inverse optimal control of a class of input affine nonlinear systems
Researcher: P, Parvathy
Guide(s): Jacob, Jeevamma and Nandakumar, M P
Keywords: control Lyapunov function
Engineering
Engineering and Technology
Engineering Electrical and Electronic
global asymptotic stability
Inverse optimal control
state-dependent coefficient form
University: National Institute of Technology Calicut
Completed Date: 2019
Abstract: The optimal control of nonlinear systems has a preeminent place all throughout the newlineprogression of control theory. This is on account of the desired ability to trade off state newlineerrors and control expenditure. Moreover, optimal control laws guarantee adequate newlinestability margins, which are key to basic robustness properties that a system should newlinepossess. However, the solution to this classical problem is hindered by the need to solve newlinethe Hamilton-Jacobi-Bellman (HJB) partial differential equation, which is an infeasible newlinetask in most cases. Therefore several approximate solution strategies based on geometric newlinetools, power series expansion and numerical techniques which lead to suboptimal newlinesolutions have been proposed. Such methodologies may not ensure a closed-form newlinesolution and are often associated with complex algorithms which require the aid of high newlinespeed computational features for real-time implementation. This work focuses on the newlineconcept of inverse optimal control (IOC) which presents an attractive alternative to newlinedetermine a closed-form solution to the nonlinear optimal control problem. Another newlineprominent advantage of IOC approach is that it circumvents the tedious task of solving newlinethe HJB equation. newlineThe fundamental concept of IOC lies in determining a stabilizing state feedback newlinecontrol based on a control Lyapunov function (CLF). Further, this CLF based IOC newlineanalytically solves the HJB equation corresponding to a meaningful performance newlinemeasure, which is deduced posteriori. This work addresses the following fundamental newlineissues in the context of IOC: Firstly, the resultant meaningful performance measures that newlineare optimized may be complex mathematical functions of the state and control vectors newlinewhich may not be worth minimizing in the practical context. Secondly, the construction newlineof CLF itself is a prevalent concern, as even the existence of one cannot be assessed for newlinea given control affine system.
Pagination: 
URI: http://hdl.handle.net/10603/593102
Appears in Departments:ELECTRICAL ENGINEERING

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01_title.pdfAttached File137.79 kBAdobe PDFView/Open
02_prelim pages.pdf311.81 kBAdobe PDFView/Open
03_content.pdf353.79 kBAdobe PDFView/Open
04_abstract.pdf127.61 kBAdobe PDFView/Open
05_chapter 1.pdf419.83 kBAdobe PDFView/Open
06_chapter 2.pdf494.69 kBAdobe PDFView/Open
07_chapter 3.pdf2.66 MBAdobe PDFView/Open
08_chapter 4.pdf1.48 MBAdobe PDFView/Open
09_chapter 5.pdf1.32 MBAdobe PDFView/Open
10_chapter 6.pdf1.03 MBAdobe PDFView/Open
11_chapter 7.pdf331.79 kBAdobe PDFView/Open
12_annexures.pdf509.01 kBAdobe PDFView/Open
80_recommendation.pdf348.81 kBAdobe PDFView/Open
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