Abstract:Abstract-In this paper, a new system equivalence relation, using the framework of differential geometry of jets and prolongations of infinite order, is studied. In this setting, two systems are said to be equivalent if any variable of one system may be expressed as a function of the variables of the other system and of a finite number of their time derivatives. This is a Lie-Bäcklund isomorphism. This quite natural, though unusual, equivalence is presented in an elementary way by the inverted pendulum and the … Show more
“…The presentation of all these system theoretic notions may also be given in a differential geometric framework by utilising diffieties, i.e., prolongations and jets of infinite order (see, e.g., Fliess et al, 1999, and the references therein).…”
Section: Nonlinear Systemsmentioning
confidence: 99%
“…Although the utilisation of (differentially) flat nonlinear systems (Fliess et al, 1995a(Fliess et al, , 1999 (see, also, Rudolph, 2003a, Sira-Ramírez & Agrawal, 2004 has become quite widespread in industry, a fundamental question like the estimation of state variables is still far from being fully understood. This communication is proposing a clear cut solution which is extending the state reconstructors for linear systems obtained in .…”
We are proposing state estimators for nonlinear systems. Our techniques extend a previous work on state reconstructors for linear systems by the same authors (Reconstructeurs d'états, C.R. Acad. Sci. Paris, Série I, 338, 2004, 91-96), which bypasses some of the classic difficulties related to asymptotic observers and Kalman filtering (lack of robustness and knowledge of statistics). Our viewpoint, which avoids the integration of differential equations and therefore any asymptotic estimation, yields fast implementable algebraic formulae. Two concrete casestudies are presented, which are (differentially) flat. Our state estimation permits a state feedback control around the flatness-based reference trajectory. Convincing simulations are provided which demonstrate the robustness of our control strategy with respect to noises with unknown statistical properties.
“…The presentation of all these system theoretic notions may also be given in a differential geometric framework by utilising diffieties, i.e., prolongations and jets of infinite order (see, e.g., Fliess et al, 1999, and the references therein).…”
Section: Nonlinear Systemsmentioning
confidence: 99%
“…Although the utilisation of (differentially) flat nonlinear systems (Fliess et al, 1995a(Fliess et al, , 1999 (see, also, Rudolph, 2003a, Sira-Ramírez & Agrawal, 2004 has become quite widespread in industry, a fundamental question like the estimation of state variables is still far from being fully understood. This communication is proposing a clear cut solution which is extending the state reconstructors for linear systems obtained in .…”
We are proposing state estimators for nonlinear systems. Our techniques extend a previous work on state reconstructors for linear systems by the same authors (Reconstructeurs d'états, C.R. Acad. Sci. Paris, Série I, 338, 2004, 91-96), which bypasses some of the classic difficulties related to asymptotic observers and Kalman filtering (lack of robustness and knowledge of statistics). Our viewpoint, which avoids the integration of differential equations and therefore any asymptotic estimation, yields fast implementable algebraic formulae. Two concrete casestudies are presented, which are (differentially) flat. Our state estimation permits a state feedback control around the flatness-based reference trajectory. Convincing simulations are provided which demonstrate the robustness of our control strategy with respect to noises with unknown statistical properties.
“…In (Vettori, 2002;Ferrante et al, 2002;Mirrahimi and Rouchon, 2004a;Mirrahimi and Rouchon, 2004b) Lyapounov based methods are proposed. This paper proposes flatness based methods (Fliess et al, 1995;Fliess et al, 1999) for steering from a pure state to another pure state. The main advantage of such method is its computational simplicity and its simple interpretation in physical terms.…”
A two-states quantum system with one control is proved to be flat. This provides a simple procedure to design smooth open-loop controls that steer in finite time from one eigen-state to the other one. A three-states quantum system with one control is not flat in general. Following the Rabi oscillations used by physicists to control stimulated transition, we associate to this system an averaged control system where the number of controls is increased and where flatness-based motion planning techniques can be used. This allows to steer directly from one eigen-state to any other one without using an additional intermediate eigen-state. In certain energy configurations our method is a noticeable improvement of the standard Rabi transitions strategy and leads to " active tunnelling control", as illustrated by simulations. This method can be extended without major difficulties to higher dimensional cases.
The aim of this paper is to report the design and use of a controller for the world's largest polypropylene reactor. This is the first industrial process-controller to use the so-called flatness property of the system, which is presented here in a concise and application oriented manner. Industrial results are given and the control strategy is presented in the context of today's fast and competitive market of polymers. #
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