Observer design for nonlinear interconnected systems: experimental tests for self-sensing control of synchronous machine

Hamida, Mohamed Assaad; León-Morales, J. De; Messali, Amir

doi:10.1007/s00170-019-04253-5

Cited by 4 publications

(2 citation statements)

References 32 publications

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“…Apart from the measurement saturation, another frequently encountered phenomenon in the complex networks is the nonlinearities. To date, the analysis/synthesis problems of nonlinear systems with distributed structures have been extensively studied in [8], [14], [25], [47], where the addressed nonlinear functions have mostly been handled under some linear constraints such as sector-bounded conditions and Lipschitz conditions. Nonetheless, the FD-related results have been quite scarce for nonlinear complex networks.…”

Section: Introductionmentioning

confidence: 99%

Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities

Liu

Wang

Zou

et al. 2022

IEEE Trans. on Signal and Inf. Process. over Networks

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Section: Introductionmentioning

confidence: 99%

Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities

Liu

Wang

Zou

et al. 2022

IEEE Trans. on Signal and Inf. Process. over Networks

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“…A relationship has been established between this design and Kalman‐like design in the work of Besançon et al 16 In recent years, scholars have used some new methods to solve the problem of state and parameter estimation. For example, sliding‐mode observer, 17,18 high gain observer, 19,20 iterative learning, 21,22 multi‐observer method, 23,24 and so forth.…”

Section: Introductionmentioning

confidence: 99%

Design of a joint adaptive observer for a class of affine nonlinear sampled‐output system with unknown states and parameters

Zhuang

Wang

Ali

et al. 2021

Adaptive Control & Signal

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Summary In this article, a joint adaptive observer design method is proposed for a class of affine nonlinear systems subject to sampled output data measurements. The considered class of system contains nonlinear terms which depend on unknown parameters. The considered unknown parameters enter the system in both the output and the system states equations which render the design of the sampled data observer for the affine nonlinear system more difficult to conceive. To solve this problem, and based on a new method of decoupling parameter estimation and state observation, a new online output sampling joint adaptive observer is proposed in this article, which can simultaneously guarantees the exponential convergence of the estimation of unknown state and parameter. The structure of the proposed observer has been extended to the case of sampled and delayed data measurements. To illustrate the performance of the proposed observer, a comparison is made with another observer with an output predictor on a satellite navigation system. And the observer proposed in this article is applied to the model‐free control of ultra‐local models.

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Sensorless Speed Control of PMLSM via Adaptive Interconnected State Observer

2022

Int. J. Control Autom. Syst.

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Observer design for nonlinear interconnected systems: experimental tests for self-sensing control of synchronous machine

Cited by 4 publications

References 32 publications

Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities

Joint State and Fault Estimation of Complex Networks Under Measurement Saturations and Stochastic Nonlinearities

Design of a joint adaptive observer for a class of affine nonlinear sampled‐output system with unknown states and parameters

Sensorless Speed Control of PMLSM via Adaptive Interconnected State Observer

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