2024 |
Hyuntae Kim / Hamin Chang / Hyungbo Shim Evaluating MR-GPR and MR-NN: An Exploration of Data-driven Control Methods for Nonlinear Systems Journal Article In: International Journal of Control, Automation, and Systems, vol. 22, pp. 2934β2941, 2024, ISSN: 1598-6446. Abstract | Links | BibTeX | Tags: Data-driven control, Gaussian process, Neural Network, nonlinear systems, Stability, System identification @article{nokey, This paper addresses the challenge of data-driven control of nonlinear systems, focusing on the limi-tations and capabilities of model reference Gaussian process regression (MR-GPR) and its evolved counterpart,model reference neural networks (MR-NN). MR-GPR, based on Gaussian processes renowned for their adaptabil-ity to diverse data structures, encounters scalability issues especially when handling large datasets. To address theselimitations, this paper introduces MR-NN, an extension of MR-GPR, leveraging neural networks (NN) to managelarge datasets and capture complex nonlinear dynamics effectively. We present a comprehensive evaluation of bothmethods through a classical control problem of the inverted pendulum, a system well-recognized for its nonlinearbehavior. Numerical experiments are conducted to compare the methods in terms of control performance, compu-tational efficiency, and reliability. |
2016 |
Gyunghoon Park / Hyungbo Shim / Kyungchul Kong Can Continuous-time Disturbance be Represented by Sampled Input Disturbance? Proceedings Article In: Proc. of 2016 16th International Conference on Control, Automation and Systems, pp. 1261-1266, IEEE, Gyeongju, Korea, 2016. Abstract | Links | BibTeX | Tags: Continuous-time system, Sampled data system, Stability @inproceedings{ParkShimKong16, Abstract: In this paper, we study whether any continuous-time disturbance to a continuous-time plant can be equivalently represented by a sampled input disturbance to a sampled-data model. With the help of the sampled-data system theory, we show that such equivalent sampled disturbance exists for almost sampling period and even for mismatched continous-time disturbances. Moreover, it is also discussed that whether the equivalent sampled disturbance is bounded significantly depends on the zeros of the sampled-data system. Simulation results verify the validity of the stability analysis. |
2015 |
Hyeonjun Yun / H. J. Chang / Hyungbo Shim / Jin Heon Seo A Preliminary Result on Frequency-shaped Model Predictive Control Proceedings Article In: Proc. of 2015 IEEE 54th Conference on Decision and Control, pp. 2395-2399, OEEE, Osaka, Japan, 2015. Abstract | Links | BibTeX | Tags: Stability @inproceedings{YunChangShimSeo15, This paper introduces frequency-shaped model predictive control (FSMPC) by considering the cost function in the frequency domain, which applies for discrete-time linear systems. Borrowing from the idea of using Parseval's theorem in the technique of the frequency-shaped LQR, we show that FSMPC can be formulated as a standard form of MPC. The terminal cost of the proposed FSMPC is chosen such that, when there are no state/input constraints, the optimal cost of FSMPC becomes the same as that of the frequency-shaped LQR, from which two benefits are obtained. That is, the closed-loop stability is straightforwardly achieved, and the performance of frequency-shaped LQR is inherited while state/input constraints are taken into account. A few examples are included to illustrate the effectiveness of the proposed FSMPC. |
2013 |
Jerome Han / Hongkeun Kim / Youngjun Joo / Nam Hoon Jo / Jin Heon Seo A Simple Noise Reduction Disturbance Observer and Q-filter Design for Internal Stability Proceedings Article In: Proc. of 13th International Conference on Control, Automation and Systems (ICCAS 2013), pp. 755-760, IEEE, Gwangju, South Korea, 2013. Abstract | Links | BibTeX | Tags: Stability @inproceedings{HanKimJooJoSeo13, The noise reduction disturbance observer is an unconventional construction of disturbance observer which has the ability of attenuating the high frequency measurement noise as well as the low frequency input disturbance. While retaining the same capabilities, this paper explores a more concise and prevailing version of the noise reduction disturbance observer with a more relaxed almost necessary and sufficient condition for the closed-loop system to be internally stable without requiring the stability of the nominal plant. Moreover, the proposed version is reduced-order compared with the classical disturbance observers in the sense that the two low-pass filters, commonly set to be identical, are now distinct and, as a result, one of them can have order less than the relative degree of the nominal plant. All of which are the direct consequence of a simplified configuration, we additionally present a design method for the two distinct low-pass filters to guarantee the internal stability of the system. |
2012 |
Chanhwa Lee / Youngjun Joo / Hyungbo Shim Analysis of Discrete-time Disturbance Observer and a New Q-filter Design Using Delay Function Proceedings Article In: Proc. of 2012 12th International Conference on Control, Automation and Systems (ICCAS), pp. 556-561, IEEE, JeJu Island, South Korea, 2012. Abstract | BibTeX | Tags: Continuous-time system, Stability @inproceedings{LeeJooShim12, In industrial applications, the disturbance observer (DOB) approach has been widely used due to its robustness and simple structure, and its results in a continuous-time fashion are frequently encountered in many literatures. Although most of DOBs are implemented in a discrete-time form with digital devices, a rigorous analysis on the discrete-time DOB is still insufficient compared to the continuous-time DOB. Therefore, in this paper, we mainly focus on the application of the DOB to discrete-time systems and some phenomena that are not observed in continuous-time systems. In particular, the time constant of the discrete-time Q-filter should have a lower bound, while the continuous-time DOB does not have this constraint. The time constant to sampling time ratio of the discrete-time Q-filter plays a crucial role in the discrete-time DOB, and it is suggested that this ratio be one for stability. Based on the above analysis, a new design method of the discrete-time Q-filter using a delay function is proposed. Furthermore, a robust stability condition for discrete-time systems using the delay function Q-filter is presented. Finally, simulation with an optical disk drive (ODD) model demonstrates the effectiveness of the newly proposed Q-filter. |
1989 |
Jin Heon Seo Stability and Stabilizability of Stochastic Evolution Equations on Hilbert Spaces Journal Article In: International Journal of Control, vol. 50, no. 3, pp. 773-794, 1989, ISBN: 0020-7179. @article{Seo89b, |
List of English Publication
2024 |
Evaluating MR-GPR and MR-NN: An Exploration of Data-driven Control Methods for Nonlinear Systems Journal Article In: International Journal of Control, Automation, and Systems, vol. 22, pp. 2934β2941, 2024, ISSN: 1598-6446. |
2016 |
Can Continuous-time Disturbance be Represented by Sampled Input Disturbance? Proceedings Article In: Proc. of 2016 16th International Conference on Control, Automation and Systems, pp. 1261-1266, IEEE, Gyeongju, Korea, 2016. |
2015 |
A Preliminary Result on Frequency-shaped Model Predictive Control Proceedings Article In: Proc. of 2015 IEEE 54th Conference on Decision and Control, pp. 2395-2399, OEEE, Osaka, Japan, 2015. |
2013 |
A Simple Noise Reduction Disturbance Observer and Q-filter Design for Internal Stability Proceedings Article In: Proc. of 13th International Conference on Control, Automation and Systems (ICCAS 2013), pp. 755-760, IEEE, Gwangju, South Korea, 2013. |
2012 |
Analysis of Discrete-time Disturbance Observer and a New Q-filter Design Using Delay Function Proceedings Article In: Proc. of 2012 12th International Conference on Control, Automation and Systems (ICCAS), pp. 556-561, IEEE, JeJu Island, South Korea, 2012. |
1989 |
Stability and Stabilizability of Stochastic Evolution Equations on Hilbert Spaces Journal Article In: International Journal of Control, vol. 50, no. 3, pp. 773-794, 1989, ISBN: 0020-7179. |