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Journal ArticleDOI

Nonlinear State Estimation in the Presence of Multiple Steady States

Sairam Valluri, +1 more
- 08 Aug 1996 - 
- Vol. 35, Iss: 8, pp 2645-2659
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TLDR
In this article, a nonlinear observer design method with varying gain is applied to a classical exothermic stirred-tank reactor with multiple steady states, and the global asymptotic convergence of the observer is demonstrated through numerical simulations.
Abstract
This paper concerns the problem of state estimation in nonlinear deterministic processes. For moderately nonlinear deterministic processes, the inadequacy of full-order Luenberger observer and extended Luenberger observer with constant gain is shown analytically and through numerical simulation of a chemical reactor. The results indicate that the convergence of an extended Luenberger observer with constant gain may be poorer than that of a simple linear Luenberger observer. A nonlinear observer design method with varying gain is applied to a classical exothermic stirred-tank reactor with multiple steady states. Under significant observer-initialization errors and several observer gains, the global asymptotic convergence of the nonlinear observer is demonstrated through numerical simulations. In the presence of the multiple steady states, the nonlinear observer converges to the same steady-state operating point at which the reactor operates, irrespective of the observer initial conditions.

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Citations
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Journal ArticleDOI

Nonlinear state-observer design with application to reactors

TL;DR: In this paper, a reduced-order nonlinear observer design approach is presented, which allows adjustment of the rate of the decay of observer error and is easy to use and is straightforward to prove analytically that the observer-error dynamics are globally asymptotically stable.
Journal ArticleDOI

Advances and selected recent developments in state and parameter estimation

TL;DR: An overview of techniques used for determining which parameters of a model should be estimated and recent developments regarding the design of nonlinear Luenberger observers are discussed, with special emphasis on exact error linearization techniques.
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Complex signal decomposition and modeling

TL;DR: In this article, a system and program product for monitoring a complex signal for ultrasensitive detection of state changes, or for signature recognition and classification is provided, based on wavelet analysis, frequency band filtering or other methods.
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Nonlinear inferential control for process applications

TL;DR: An overview of nonlinear inferential control approaches is presented, with an emphasis on the estimation component of the algorithm and logical extensions of the linear theory.
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Multi‐rate nonlinear state and parameter estimation in a bioreactor

TL;DR: This paper concerns real-time, multi-rate, nonlinear state and parameter estimation in a pilot-scale biochemical reactor in which cultivation of mouse-mouse hybridoma cells takes place.
References
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Journal ArticleDOI

New Results in Linear Filtering and Prediction Theory

TL;DR: The Duality Principle relating stochastic estimation and deterministic control problems plays an important role in the proof of theoretical results and properties of the variance equation are of great interest in the theory of adaptive systems.
Journal ArticleDOI

A simple observer for nonlinear systems applications to bioreactors

TL;DR: In this paper, an observer for nonlinear systems is constructed under rather general technical assumptions (the fact that some functions are globally Lipschitz) and a tentative application to biological systems is described.
Journal ArticleDOI

Observing the State of a Linear System

TL;DR: In this article, it was shown that the state vector of a linear system can be reconstructed from observations of the system inputs and outputs, and that the observer which reconstructs this state vector is itself a linear systems whose complexity decreases as the number of output quantities available increases.
Journal ArticleDOI

Linearization by output injection and nonlinear observers

TL;DR: Observers can easily be constructed for those nonlinear systems which can be transformed into a linear system by change of state variables and output injection.
Journal ArticleDOI

Nonlinear observers with linearizable error dynamics

TL;DR: In this article, a method for designing asymptotic observers for a class of nonlinear systems is presented, where the error between the state of the systems and the observer in appropriate coordinates evolves linearly and can be made to decay aribtrarily exponentially fast.
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