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CHAPTER 11


                            Adaptive Dynamic Surface Output

                            Feedback Control of

                            Pure-Feedback Systems With

                            Non-linear Dead-Zone



                            11.1 INTRODUCTION

                            Pure-feedback systems can represent more generic practical plants, such as
                            aircraft systems, chemical processes, servomechanisms, and so on. How-
                            ever, the non-affine property of pure-feedback systems makes the feedback
                            control design difficult. In fact, the backstepping that has been originally
                            proposed for strict-feedback systems can not be directly used for pure-
                            feedback systems. Over the past decades, a notable idea is to represent a
                            pure-feedback system as a strict-feedback form by applying the mean value
                            theorem on the non-affine functions [1,2]. Following this idea, the implicit
                            function theorem was employed to assert the desired feedback controller
                            in [1]. This idea was also extended to non-affine pure-feedback systems [3],
                            where the ISS-modular approach and small gain theorem were employed.
                            Most of these control designs have been derived based on the assumption
                            that all system states are available or measurable.
                               On the other hand, to cope with unknown system dynamics, as stated
                            in the previous chapters, the function approximators (e.g., neural networks
                            and fuzzy logic systems) have also been used in adaptive control for some
                            specific pure-feedback systems, e.g., [4], [5]. Apart from these function
                            approximation based control, extended state observer (ESO) has been re-
                            cently developed [6,7]. In the ESO design, the system states and external
                            disturbances can be estimated simultaneously by considering all the lumped
                            uncertainties as an extended state, which is distinguished from the conven-
                            tional observer designs. Due to its satisfactory estimation performance, ESO
                            has been successively used in many realistic engineering applications. How-
                            ever, ESO based control cannot be directly used for pure-feedback systems
                            due to the non-affine property. To address this issue, in a recent work [8],
                            a new coordinate transformation was suggested for strict-feedback systems
                            to transform the unknown non-affine input function to a partially affine
                            Adaptive Identification and Control of Uncertain Systems with Non-smooth Dynamics.
                            DOI: https://doi.org/10.1016/B978-0-12-813683-6.00014-3       177
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