A nonlinear MIMO system

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Isothermal Continuous Stirred Tank Reactor

Model description: 

$$\begin{align*} \dot x_1 &= -k_1x_1 - k_3x_1^2 + u(c - x_1) \\ \dot x_2 &= k_1x_1 - k_2x_2 - ux_2 \\ y &= x_2, \end{align*}$$

where $c$ and $x_1$ are the concentrations of the input and reactant substance, $x_2$ is the concentration of the desired output product, $u$ is the normalized input flow rate of the reactant substance. The output $y$ here reflects the grade of the final product. The parameters $k_1, k_2, k_3$ and $c$ are positive constants under the isothermal considered conditions.

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2

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Publication details: 

TitleFlatness-based optimal noncausal output transitions for constrained nonlinear systems: case study on an isothermal continuously stirred tank reactor
Publication TypeJournal Article
Year of Publication2005
AuthorsWang, G.L., and Allgower F.
JournalIEE Proceedings Control Theory and Applications
Volume152
Start Page105
Issue1
Pagination105–112
Date Published01/2005
ISSN1350-2379
Accession Number8307340
Keywordschemical reactors, control system synthesis, feedforward, nonlinear control systems, optimal control
Abstract

The issue of optimal output transition control for nonlinear differential flat systems with constraints is investigated. Of special interest is the generation of a state reference trajectory and a feedforward input, which are essential to the two-degree-of-freedom design. The proposed approach is to transfer the transition problem in the real output space into a trajectory planning issue in the flat output space. The distinguishing feature of our approach is the generation of a noncausal trajectory for the flat output. This approach is shown to be highly effective in creating performance improvements. It should also be noted that the proposed methodology guarantees that the planned trajectories are feasible for all nonlocal transitions. This allows the application of stable inversion in the planning of optimal output transitions. The proposed method is illustrated on a benchmark system, the isothermal continuous stirred tank reactor, although its applicability is much wider.

DOI10.1049/ip-cta:20041162

A nonlinear MIMO system

Model description: 

The system has two inputs and two outputs and is described by the following set of equations:

$$\begin{align*} y_1(k)&=0.21y_1(k-1)-0.12y_2(k-2)+0.3y_1(k-1)u_2(k-1) \\ &-1.6u_2(k-1)+1.2u_1(k-1)\\ y_2(k)&=0.25y_2(k-1)-0.1y_1(k-2)-0.2y_2(k-1)u_1(k-1) \\ &-2.6u_1(k-1)-1.2u_2(k-1). \end{align*}$$

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Publication details: 

TitleU-model Based Adaptive Tracking Scheme for Unknown MIMO Bilinear Systems
Publication TypeConference Paper
Year of Publication2006
AuthorsAzhar, A.S.S., Al-Sunni F.M., and Shafiq M.
Conference NameIndustrial Electronics and Applications, 2006 1ST IEEE Conference on

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