On an internal multimodel control for non-linear systems: a comparative study

Soudani, Dhaou; Naceur, Mongi; Saad, Kamel Ben; Benrejeb, Mohamed

doi:10.1504/ijmic.2008.023517

Cited by 9 publications

(5 citation statements)

References 6 publications

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“…In recent years, the research on intelligent control method and its application in control is very active and has achieved encouraging results [18], especially the internal model control method developed from chemical process control has been widely used in industrial control [6], [19]. Theoretical analysis and simulation results show that the method can effectively suppress disturbances and has good robustness to model mismatch [20].…”

Section: Internal Model Decoupling Controlmentioning

confidence: 99%

A Robust Decoupling Control Method Based on Artificial Bee Colony-Multiple Least Squares Support Vector Machine Inversion for Marine Alkaline Protease MP Fermentation Process

Wang

Zhu

et al. 2019

IEEE Access

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Due to the characteristics of uncertainty, multivariate, strong coupling, and non-linearity in the marine alkaline protease MP fermentation process, the realization of high-performance decoupling control has always been the goal. In this thesis, a nonlinear robust decoupling control method based on artificial bee colony algorithm and multiple least squares support vector machine inversion is proposed, which combines the inverse system method with support vector machine theory. First, the ''gray box'' dynamics model of marine alkaline protease MP fermentation process is developed based on the material balance relationship of the fermentation process, and the existence of the inverse system is analyzed. Second, the inverse model is constructed off-line using least squares support vector machine, and the inverse model is corrected on-line by artificial bee colony algorithm according to the model deviation. Finally, the inverse model is connected in series with the original system to form a combining pseudo-linear system, and according to the characteristics of the pseudo-linear system, the internal model controller is introduced to perform closed-loop control on the system. The simulation results show that the control method can realize dynamic decoupling control of marine alkaline protease fermentation process, and the system has strong parameter robustness and good anti-interference ability. INDEX TERMS Decoupling control, marine alkaline protease MP, inverse system method, internal model controller.

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Section: Internal Model Decoupling Controlmentioning

confidence: 99%

A Robust Decoupling Control Method Based on Artificial Bee Colony-Multiple Least Squares Support Vector Machine Inversion for Marine Alkaline Protease MP Fermentation Process

Wang

Zhu

et al. 2019

IEEE Access

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“…TIME-DELAYS The Internal Model Control IMC introduced by Garcia and Morari in the 1982 [22] and then in the 1985s [23], is a robust control structure [11], [12], currently used in several works [13], and [24]. It is presented as an alternative to the classic closed loop; it's useful at once to the process and its model.…”

Section: Internal Multi-model Control For Multivariable Discrete mentioning

confidence: 99%

“…The diversity of control structures [10], [11], is linked in one hand to the objectives set and to the constraints on quality of the process and model on the other hand. In order to make a contribution to this axis of research, this work focuses on the Internal Multi-Model Control IMMC as a command structure known as a robust control [12]. The encouraging results of this control law in the mono variable continuous case encourage us to extend its application to multivariable discrete-time systems with the same number of inputs and outputs MIMO.…”

Section: Introductionmentioning

confidence: 99%

Modeling and Control by Multi-Model Approach of the Greenhouse Dynamical System with Multiple Time-delays

Hannachi¹,

Bencheikh²,

Soudani³

2019

ijacsa

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This paper presents the Internal Multi-Model Control IMMC for a multivariable discrete-time system with variable multiple delays. This work focus on the Greenhouse climate model as a multivariable time-delay system. In fact, the Greenhouse technology is an interesting subject for sustainable crop production in the regions of disadvantageous climatic conditions. In addition, high summer temperature is an important setback for successful greenhouse crop production throughout year. The main intent of this work is to present a new control of Greenhouse during summer months using the Internal Multi-Model approach. First, the plant and the model are discredited with the bilinear approximation and then they will be controlled with an Internal Multi-Model Control. The chosen system is modeled only in the summer season case. The simulation results prove the robustness of this Internal Multi-Model Control to preserve stability system despite the incertitude of the chosen model and the extern disturbances.

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“…[10] The application of the Kharitonov theorem in the continuous case leads to false results for the uncertain discrete-time systems. This has required the development of this theorem in the discrete-time case.…”

Section: Stability Study Of the Discrete-time Uncertain Systems mentioning

confidence: 99%

“…Let's consider the following diagram of the internal multimodel control structure: [6,8,10,11] Fig. 4.…”

Section: Internal Model Control Structurementioning

confidence: 99%

On the Internal Multi-Model Control of Uncertain Discrete-Time Systems

Othman¹,

Cheikh²,

Soudani³

2016

ijacsa

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Abstract-In this paper, new approaches of internal multimodel control are proposed to be applied for the case of the discrete-time systems with parametric uncertainty. In this sense, two implantation structures of the internal multi-model control are adopted; the first is based on the principle of switching and the second on the residues techniques. The stability's study of these control structures is based on the Kharitonov theorem, thus two extensions of this theorem have been applied to define the internal models. To illustrate these approaches, simulation results are presented at the end of this article.

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On an internal multimodel control for non-linear systems: a comparative study

Cited by 9 publications

References 6 publications

A Robust Decoupling Control Method Based on Artificial Bee Colony-Multiple Least Squares Support Vector Machine Inversion for Marine Alkaline Protease MP Fermentation Process

A Robust Decoupling Control Method Based on Artificial Bee Colony-Multiple Least Squares Support Vector Machine Inversion for Marine Alkaline Protease MP Fermentation Process

Modeling and Control by Multi-Model Approach of the Greenhouse Dynamical System with Multiple Time-delays

On the Internal Multi-Model Control of Uncertain Discrete-Time Systems

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