A generalized methodology for the inverse optimal control of a class of input affine nonlinear systems
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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.