A smooth nonlinear system (2)

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Bilinear descriptor system

Model description: 

Consider the following bilinear descriptor system:

$$\begin{pmatrix} 1 & -1\\ 0 & 0 \end{pmatrix}x_{k+1}=\begin{pmatrix} -0.5 & 1\\ -1 & 0 \end{pmatrix}x_{k}+\begin{pmatrix} 0.5 & 0.25\\ -1 & 0.5 \end{pmatrix}x_{k}u_{k}.$$

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TitleStabilization of Discrete-time Bilinear Descriptor Systems
Publication TypeConference Paper
Year of Publication2006
AuthorsLu, Guoping, Zhang Xiaomei, Tang Hongji, and Zhou Lei
Conference NameThe Sixth World Congress on Intelligent Control and Automation, 2006.
Date Published06/2006
PublisherIEEE
Conference LocationDalian, China
ISBN Number1-4244-0332-4
Accession Number9187947
Keywordsasymptotic stability, bilinear systems, closed loop systems, discrete time systems, state feedback
AbstractThis paper discusses global asymptotic stabilization of a class of discrete-time bilinear descriptor systems. By means of LaSalle invariant principle and the implicit function theorem, a sufficient condition is presented to guarantee the uniqueness and existence of solution and the global asymptotic stability of the resulting closed-loop systems simultaneously. Finally, the effectiveness of the proposed approach is illustrated by a numerical example
DOI10.1109/WCICA.2006.1712293

Power plant superheater

Model description: 

In the operation of a power plant superheater, exacting demands are made on the steam temperature maintenance at the outlet. For temperature control at the outlet of a superheater, the relevant system state is the temperature pattern along the superheater tube. This is described by a distributed-parameter system, which involves an infinite number of state variables. To derive a simplified model for control purposes, the superheater is divided into segments, and a lumped model is derived, which represents a finite number of intermediate temperatures.

Assuming that the pressure inside the tube is constant, the enthalpy of the steam satisfies the relation $dH = C_pdT(kcal/kg)$ , where $C_p(kcal/kg^{\circ}C)$ is the constant-pressure specific heat. Hence, we conclude that the heat supplied to the following fluid(steam) only increases its enthalpy, $dH = dQ$ , where $Q$ denotes the heat. In the above equations, it is assumed that convection is the exclusive heat transfer mode for the superheater. Hence the heat transfer from to metal $Q_{ms}(kcal/s)$ and from gas to metal $Q_{gm}(kcal/s)$ are expressed in terms of the heat transfer rates from gas to metal $\alpha_{gm}(kcal/m^2s^{\circ}C)$ and from metal to steam $\alpha_{ms}(kcal/m^2s^{\circ}C)$ and heating surface $S(m^2)$ :

$$\begin{align*} \alpha_{ms}S_1(T(l,t)-T(l,t)) &=Q_{ms} \\ \alpha_{gm}S_2(T_m(l,t)-T(l,t)) &=Q_{gm}. \end{align*}$$

It is also assumed that the heat transfer rates $\alpha_{gm}$ and $\alpha_{ms}$ are constants.

Now, to simulate the profile of superheated steam precisely, it is necessary to divide the superheater into $n$ segments as shown in the attached image.

In the first segment, the desuperheater is included and system is modified as follows:

$$\begin{align*} V_s\rho C_p\frac{{\mathrm d} x_1}{{\mathrm d}t} &={C_{p}}{T_{i}}{w_{i}}-{C_{p}}({w_{i}}+{w_{d}}){x_{1}} +{\alpha_{ms}}{S_{1}}({z_{1}}-{x_{1}})+{C_{pd}}{T_{d}}{w_{d}}\\ M_mC_m \frac{{\mathrm d}z_1}{{\mathrm d}t} &={\alpha_{gm}}{S_{2}}(T{g_{1}}-{z_{1}})-{\alpha_{ms}}{S_{1}}({z_{1}}-{x_{1}}), \end{align*}$$

where $x=[x_1,x_2,\ldots,x_n]^{\mathrm T}=[T_1,T_2,\ldots,T_n]^{\mathrm T}$, $z=[z_1,z_2,\ldots,z_n]^{\mathrm T}=[T_{m1},T_{m2},\ldots,t_{mn}]^{\mathrm T}$, and $T_{mi}(^{\circ}C)$ are metal temperature, $T_i(^{\circ}C)$ are steam temperature, $i=1,\ldots,n$.

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Publication details: 

TitleController design for the bilinear system
Publication TypeConference Paper
Year of Publication2001
AuthorsLee, Sang-Hyuk, Jeon Byeong-Seok, Song Chang-Kyu, Kim Ju-Sik, Kim Sung-Soo, and Jang Young-Soo
Conference NameIEEE International Symposium on Industrial Electronics, 2001
Date Published06/2001
PublisherIEEE
Conference LocationPusan
ISBN Number0-7803-7090-2
Accession Number7091972
Keywordsbilinear systems, control system synthesis, iterative methods, linear quadratic control, state estimation, state feedback, temperature control, thermal power stations
AbstractIn this paper, we construct the controller for the bilinear system using an iterative method. For applying the linear quadratic control theory, we formulate the bilinear system to execute iteration. We estimate bilinear system state for the purpose of state feedback controller design. We also apply the iterative controller to the thermal power plant superheater system temperature control, and computer simulation to show that the output steam temperature is properly maintained
DOI10.1109/ISIE.2001.932003

A linear system

Model description: 

Consider a linear system represented by the transfer function

$$G(s)=\dfrac{c}{s(s+a)}$$

where $a$ and $c>0$ are unknowns constants, and the reference model

$$G_m(s)=\dfrac{\omega^2}{s^2 + 2\zeta\omega s + \omega^2}.$$

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2

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TitleAdaptive output feedback control of nonlinear systems represented by input-output models
Publication TypeJournal Article
Year of Publication1996
AuthorsKhalil, H.K.
JournalIEEE Transactions on Automatic Control
Volume41
Start Page177
Issue2
Pagination177-188
Date Published02/1996
ISSN0018-9286
Accession Number5202146
Keywordsadaptive control, linearisation techniques, nonlinear control systems, state feedback
AbstractWe consider a single-input-single-output nonlinear system which can be represented globally by an input-output model. The system is input-output linearizable by feedback and is required to satisfy a minimum phase condition. The nonlinearities are not required to satisfy any global growth condition. The model depends linearly on unknown parameters which belong to a known compact convex set. We design a semiglobal adaptive output feedback controller which ensures that the output of the system tracks any given reference signal which is bounded and has bounded derivatives up to the nth order, where n is the order of the system. The reference signal and its derivatives are assumed to belong to a known compact set. It is also assumed to be sufficiently rich to satisfy a persistence of excitation condition. The design process is simple. First we assume that the output and its derivatives are available for feedback and design the adaptive controller as a state feedback controller in appropriate coordinates. Then we saturate the controller outside a domain of interest and use a high-gain observer to estimate the derivatives of the output. We prove, via asymptotic analysis, that when the speed of the high-gain observer is sufficiently high, the adaptive output feedback controller recovers the performance achieved under the state feedback one
DOI10.1109/9.481517

Single link manipulator with flexible joints

Model description: 

A single link manipulator with flexible joints and negligible damping can be represented by

$$\begin{align*} I\ddot{q}_1 + MgL\sin{q_1} + k(q_1 - q_2) &= 0 \\ J\ddot{q}_2-k(q_1-q_2) &=u, \end{align*}$$

where $q_1$ and $q_2$ are the angular positions, and $u$ is a torque input. The physical parameters $g, I, J, k, L,$ and $M$ are all positive. Taking $y=q_1$ as the output, it can be verified that $y$ satisfies the fourth-order differential equation

$$y^{(4)}=\dfrac{gLM}{I}(\dot{y}^2\sin{y}-\ddot{y}\cos{y})- \left(\dfrac{k}{I}+\dfrac{k}{J}\right)\ddot{y}-\dfrac{gkLM}{IJ}\sin{y}+\dfrac{k}{IJ}u.$$

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4

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Publication details: 

TitleAdaptive output feedback control of nonlinear systems represented by input-output models
Publication TypeJournal Article
Year of Publication1996
AuthorsKhalil, H.K.
JournalIEEE Transactions on Automatic Control
Volume41
Start Page177
Issue2
Pagination177-188
Date Published02/1996
ISSN0018-9286
Accession Number5202146
Keywordsadaptive control, linearisation techniques, nonlinear control systems, state feedback
AbstractWe consider a single-input-single-output nonlinear system which can be represented globally by an input-output model. The system is input-output linearizable by feedback and is required to satisfy a minimum phase condition. The nonlinearities are not required to satisfy any global growth condition. The model depends linearly on unknown parameters which belong to a known compact convex set. We design a semiglobal adaptive output feedback controller which ensures that the output of the system tracks any given reference signal which is bounded and has bounded derivatives up to the nth order, where n is the order of the system. The reference signal and its derivatives are assumed to belong to a known compact set. It is also assumed to be sufficiently rich to satisfy a persistence of excitation condition. The design process is simple. First we assume that the output and its derivatives are available for feedback and design the adaptive controller as a state feedback controller in appropriate coordinates. Then we saturate the controller outside a domain of interest and use a high-gain observer to estimate the derivatives of the output. We prove, via asymptotic analysis, that when the speed of the high-gain observer is sufficiently high, the adaptive output feedback controller recovers the performance achieved under the state feedback one
DOI10.1109/9.481517

A smooth nonlinear system (2)

Model description: 

The system

$$\begin{align*} \dot{x}_1 & = x_4^2 + x_3^3 + u_1 + au_2 \\ \dot{x}_2 & = x_3 \\ \dot{x}_3 & = \sin{x_4}+\cos{x_1}+bu_1 + u_2 \\ \dot{x}_4 & = -x_4 \\ y_1 &= x_1 \\ y_2 &=x_2. \end{align*}$$

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4

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Publication details: 

TitleInput-output models for a class of nonlinear systems
Publication TypeConference Paper
Year of Publication1997
AuthorsAtassi, A.N., and Khalil H.K.
Conference NameProceedings of the 36th IEEE Conference on Decision and Control, 1997.
Date Published12/1997
PublisherIEEE
Conference LocationSan Diego, CA
ISBN Number0-7803-4187-2
Accession Number5863848
Keywordsnonlinear control systems
AbstractWe investigate the possibility of having an input-output model that has a specific structure for multivariable input-output linearizable systems
DOI10.1109/CDC.1997.657850

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