{"title":"A model-free predictive control method based on polynomial regression","authors":"Hongran Li, S. Yamamoto","doi":"10.1109/SICEISCS.2016.7470167","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470167","url":null,"abstract":"This paper proposes a model-free predictive control method for nonlinear systems on the basis of polynomial regression. In contrast to conventional model predictive control, model-free predictive control does not require mathematical models. Instead, it uses the previous recorded input/output datasets of the controlled system to predict an optimal control input so as to achieve the desired output. The novel point in this paper is the improvement of existing model-free predictive control by adopting polynomial regression, which is a generalization of the so-called Volterra series expansion of nonlinear functions.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125376453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
V. R. Aparow, K. Hudha, Zulkiffli Abd Kadir, M. Mansor, N. H. Amer
{"title":"Model-in-the-loop simulation of electronically controlled pitman arm steering mechanism for armored vehicle","authors":"V. R. Aparow, K. Hudha, Zulkiffli Abd Kadir, M. Mansor, N. H. Amer","doi":"10.1109/SICEISCS.2016.7470170","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470170","url":null,"abstract":"This paper presents position tracking control of an electronically actuated Pitman Arm steering system. A validation method, Model-in-the-Loop Simulation (MILS) is used to investigate the capability of Pitman Arm steering system and model. The MILS is divided into two types of method known as Software-in-the-loop Simulation (SILS) using mathematical derivation based on Lagrange theory and Hardware-in-the-Loop Simulation (HILS) using actual Pitman Arm steering system. A steering test rig is developed for HILS testing using real Pitman Arm steering mechanism. The test rig is experimented using National Instrument data acquisition system, xPC Target and Host PC, electronic control unit to study the behavior of the Pitman Arm steering system. The behavior of Pitman arm steering mechanism is evaluated based lateral input of armored vehicle. The developed Pitman Arm steering model using Lagrange theory is validated with actual steering system. Both mathematical model and real system are tested using MILS method to investigate the performance of the system. The results show that Pitman Arm steering is able to follow the desired inputs and proven that this steering system is capable to be implemented as an active steering system.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116410465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Sliding mode control with a linear sliding surface that varies along a smooth trajectory","authors":"Taichi Mizoshiri, Y. Mori","doi":"10.1109/SICEISCS.2016.7470158","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470158","url":null,"abstract":"Sliding Mode Control is a nonlinear control method that has high robustness against uncertainties. The sliding surface is a hyperplane that characterizes the operation of the discontinuous nonlinear control input. The name of the control method comes from the behavior of states that act along sliding surface towards equilibrium point. Where, a gradient of the sliding surface determines convergence characteristics of errors. This paper introduces a sliding mode control with a time varying sliding surface that moves along a smooth trajectory. The smooth trajectory is developed based on a minimum jerk trajectory. Therefore, the error tracking response of the proposed method is smoother than in conventional methods. Moreover, the proposed method can reduce energy consumption and convergence time compared to conventional methods. To verify the advantages of the proposed method, we compare the proposed sliding surface with conventional ellipsoidal and linear sliding surfaces through simulations of a simple second-order uncertain dynamic system.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123215420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
W. Thammasiriroj, V. Chunkag, M. Phattanasak, S. Pierfederici, B. Davat, P. Thounthong
{"title":"Simplified single-loop full-flatness control of a hybrid power plant","authors":"W. Thammasiriroj, V. Chunkag, M. Phattanasak, S. Pierfederici, B. Davat, P. Thounthong","doi":"10.1109/SICEISCS.2016.7470163","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470163","url":null,"abstract":"This paper presents a simplified nonlinear estimation technique based on the differential flatness control strategy combined with a single-loop feedback control. An experiment setting that is hybridized between two power sources, namely, a 500-W fuel cell (FC) emulator and a 165-F supercapacitor (SC) module, was used to validate the proposed technique. Each power source was connected to a two-phase interleaved boost converter, which distributes voltage-regulated dc supplied by the hybrid power source. A dSPACE 1103 controller card interfaced the hybrid system and the control algorithm with the mathematical environment of MATLAB-Simulink. The experimental results showed the rapid response of the proposed system to the dynamic load requirement. This confirmed that the single-loop full-flatness feedback control is a potential algorithm that offers stabilization of the hybrid system sourced by FC and SC.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131476953","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Steady-state analysis of autonomous system in equilibrium assessment of Bayesian game","authors":"Takashi Suzuki, K. Kogiso","doi":"10.1109/SICEISCS.2016.7470172","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470172","url":null,"abstract":"This study presents an analysis result in connection between Bayesian Nash equilibrium (BNE) and parameters of an autonomous dynamical system expressing transitions of an equilibrium assessment in a static Bayesian game. A numerical example of the Bayesian game confirms that the analysis result is useful for determining the system's parameters.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121748555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Interval observers for nonlinear systems with appropriate output feedback","authors":"H. Ito, T. N. Dinh","doi":"10.1109/SICEISCS.2016.7470174","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470174","url":null,"abstract":"The problem of designing interval observers for nonlinear systems exposed to disturbances is addressed in this paper. Intervals in which components of the state vector reside in are estimated by the interval observer consisting of two Luenberger-type observers making use of the information of the range of the initial state and the disturbances. The main feature of the proposed method is to encompass a larger class of nonlinearities than previously existing approaches. This paper demonstrates that an integral input-to-state stability (iISS) framework not only accomplishes this goal, but also provides us with robustness of convergence with respect to the disturbances.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"57 36","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131471658","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Algebraic connectivity of multi-agent systems with homogeneous substructure","authors":"Hojin Lee, L. T. H. Nguyen, Y. Fujisaki","doi":"10.1109/SICEISCS.2016.7470171","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470171","url":null,"abstract":"This paper presents a method for finding the algebraic connectivity of multi-agent systems with homogeneous substructure. The systems consist of several homogeneous substructure where only one vertex is connected with main structure. Their algebraic connectivity can be calculated from properties of graphs corresponding to substructure and main structure. Also, it is shown that the algebraic connectivity of an entire system is less than or equals to that of substructure and that of main structure.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131087004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A nonlinear attitude estimator for attitude and heading reference systems based on mems sensors","authors":"Yunlong Wang, M. Soltani, D. M. Akbar Hussain","doi":"10.1109/SICEISCS.2016.7470176","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470176","url":null,"abstract":"In this paper, a nonlinear attitude estimator is designed for an Attitude Heading and Reference System (AHRS) based on Micro Electro-Mechanical Systems (MEMS) sensors. The design process of the attitude estimator is stated with detail, and the equilibrium point of the estimator error model is proved to be asymptotically stable using LaSalle's invariance set theorem through limitation of the range of scalar element of quaternion without affecting practical use. Also, a new Lyapunov candidate function, satisfying continuously differentiable positive definite requirement, is presented to avoid the problems in previous research works. Moreover, the estimation of MEMS gyroscope bias is also inclueded in this estimator. The designed nonlinear attitude estimator is firstly tested in simulation environment and then implemented in an AHRS hardware for further experiments. Finally, the attitude estimation results from the designed AHRS are compared with a high-precision commercial AHRS to validate its estimation performance.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123881841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"DSP-based neural-network control system with finite time convergence method","authors":"Jeng-Dao Lee, Jyun-Han Shen, Ching-Wei Chuang, Yi-cheng Lee, W. Tang, Li-Yin Chen","doi":"10.1109/SICEISCS.2016.7470161","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470161","url":null,"abstract":"Neural network (NN) is a poplar intelligent control scheme for wildly application. It is usually adopt the back propagation as their learning method to reduce the resource on calculation. Furthermore, the terminal steepest descent algorithm (TSDA) has been adopted as the adjustment of network parameters in this study. The TSDA provide finite-time convergence ability to solve slow convergence performance of steepest descent algorithm. The development of control strategies will surround the model-free strategies, and then establish a control system that the digital signal processor is adopted as computation core. Finally, there are comparisons of performance of all strategies that previous mentioned will compared in two different conditions. The simulation and experimentation of proposed strategies performance results will be compared at last. The terminal steepest descent algorithm (TSDA) has been adopted as the adjustment of network parameters in this study. The TSDA provide finite-time convergence ability to solve slow convergence performance of steepest descent algorithm.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121286183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Faster-than-nyquist signaling by sum-of-absolute-values optimization","authors":"Hampei Sasahara, K. Hayashi, M. Nagahara","doi":"10.1109/SICEISCS.2016.7470173","DOIUrl":"https://doi.org/10.1109/SICEISCS.2016.7470173","url":null,"abstract":"In this article, we propose a new signal detection method for faster-than-Nyquist signaling (FTNS) systems for high-speed data communications. The symbol detection problem is formulated as under-determined linear equations on a finite set. We transform the problem to the sum-of-absolute-values (SOAV) optimization, for which we derive a fast algorithm based on proximal splitting. The effectiveness of the proposed method is shown by simulations.","PeriodicalId":371251,"journal":{"name":"2016 SICE International Symposium on Control Systems (ISCS)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124709008","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}