:: ICCAS 2015 ::

TB03		Nonlinear Systems
Time : 13:00~14:30 Room : 103		Chair : LI DONGHAI (Tsinghua University, )



13:00~13:15	TB03-1

Design of Nonlinear Model Predictive Control for Regenerative Thermal Oxidizer System
Sasita Anucha, David Banjerdpongchai(Chulalongkorn University, Thailand)

This paper presents an application of nonlinear model predictive control (NMPC) designed for regenerative thermal oxidizer system. It aims to regulate the gas stream output and temperature control loop is an important requirement. Applying the Wiener and Hammerstein model to NMPC can transform the design criterion into a quadratic function. The performance of NMPC based on Wiener and Hammerstein model is compared to linear MPC. Effects of each control parameter are also obtained. Simulation results indicate that NMPC provides better transient performance while error converges to zer



13:15~13:30	TB03-2

A Multi-dimensional Taylor Network (MTN)-Based Approach for Nonlinear Stochastic Systems Tracking Control
Yuqun Han, Hongsen Yan(Southeast University, China)

The problem of tracking control for stochastic nonlinear systems is investigated in this paper. In this paper, a new network controller (multi-dimensional Taylor network) is proposed, which only relies on the output of system. Firstly we give the structure of multi-dimensional Taylor network (MTN), and then prove the MTN has a good approximation performance. Secondly, Design a MTN control strategy relying on the system output, which will guarantee the tracking of system output to desired output. An example is given to illustrate the effectiveness of the proposed design approach.



13:30~13:45	TB03-3

ADRC Applied in Chaotic Arrhythmic Heartbeats Control
HE TING, LI DONGHAI(Tsinghua University, China)

Control arrhythmic heartbeats has always been an important issue in cardiology. In this work, the capability of active disturbance rejection control (ADRC) to suppress the chaotic arrhythmic heartbeats is studied. The modified Van der Pol model is employed as mathematical model to describe the normal and pathological heart rhythms. The ADRC method is applied in three channels of the chaotic cardiac model. Compared with the commonly used time-delayed feedback control method, the ADRC method manifests better performance, thus worth further investigation and development.



13:45~14:00	TB03-4

Asymptotically Tracking and Dynamic Regulation of SISO Nonlinear System Based on Multi-dimensional Taylor Network Controller
An ming Kang, Yan Hong Sen(Southeast University, China)

This paper deals with the problem of output feedback control of SISO nonlinear systems based on the multi-dimensional Taylor network (MTN) controller. It adopts the MTN controller as a network structure controller and the differential geometry as an analysis tool. It proves that, when the given conditions are met, the reference signal can be asymptotically tracked by the MTN controller. And also, it proves the MTN controller can realize the closed-loop system dynamic regulation. Finally, an example is given to prove the correctness of above.



14:00~14:15	TB03-5

Optimal Tracking Control of MISO Nonlinear Systems Based on Multi-dimensional Taylor Network Only by Output Feedback
Sun Qiming, Yan Hong Sen(Southeast University, China)

The control input item is added to constitute the nonlinear dynamic model, on the basis of the original multi-dimensional Taylor network in this paper. And this nonlinear dynamic model is used to optimally control MISO nonlinear system only by output feedback without the disturbance estimation of the system or needing the state observer. The back-propagation algorithm is used to train the parameters of the multi-dimensional network with the control input item. Through the simulation, it is demonstrated the multi-dimensional Taylor network used as the optimal MISO nonlinear system tracking cont



14:15~14:30	TB03-6

Prediction of Limit Cycle in Nonlinear Systems with Reset Controllers Using Describing Function
Masataka Iwai, Toshimitsu Ushio(Osaka University, Japan)

This paper proposes a design method of a reset controller for the Reset control of limit cycles. We consider a nonlinear feedback system and show a condition of the parameter for which limit cycles exists, using describing functions of the nonlinear element and the reset controller. The adjustable parameter of the reset controller is determined by the intersection of the inverse Nyquist locus of the linear system and the existence region of the limit cycles on the complex plain. We apply the proposed design method of the reset controller to the van der Pol equation and show its effectiveness.