Shuchen Zhao, Zhengyang Li, Xin Yun, Keyao Wang, Xin Lyu, Bo Liu
{"title":"IIR filters designing by water wave optimization","authors":"Shuchen Zhao, Zhengyang Li, Xin Yun, Keyao Wang, Xin Lyu, Bo Liu","doi":"10.1109/ICCA.2017.8003085","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003085","url":null,"abstract":"Digital IIR filter design problem is a crucial research issue in control and signal processing. From the viewpoint of optimization, IIR filter designing problems can be formulated as a multi-modal optimization problem with multiple decision variables. This study investigate the feasibility of applying a newly proposed optimization method labeled as water wave optimization (WWO) algorithm to identify the unknown parameters for IIR filter. To enhance its fine (local) searching performance of WWO, Nelder-Mead simplex algorithm based local improvement is incorporated into WWO so as to continually search for the global optima through the reflection, expansion, contraction, and shrink operators. By working on well-known IIR designing benchmark problems, we evaluate the effectiveness and efficacy of the proposed improved WWO algorithm. Experimental results as well as the comparisons with some state-of-the-art algorithm illustrate merit of the hybrid algorithm in which the local search and global search are well balanced.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134490683","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":"Model predictive control of a hybrid energy storage system using load prediction","authors":"Matthias Baumann, M. Buchholz, K. Dietmayer","doi":"10.1109/ICCA.2017.8003134","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003134","url":null,"abstract":"Hybrid Energy Storage Systems (HESS) enable the use of the advantages from different energy storages. In this work, the HESS comprises a battery with high energy density and a supercapacitor with high power density. To fully exploit the advantages of both modules within the HESS, a control strategy is needed. In this contribution, a computationally efficient model predictive control (MPC) strategy is presented for this task. Special focus is directed to the prediction of the power demand in a range of several seconds. This information is useful to follow a given power profile within the given limits of the energy storage system. Therefore, an energy transfer between battery and supercapacitor occurs depending on the expected power demand. Furthermore, the MPC manages nonlinear model equations, whereby the system behavior is accurately represented, while the presented control algorithm for a HESS is still real-time capable.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133812011","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":"Output-feedback H∞ consensus of linear multi-agent systems over general directed graphs","authors":"Xianwei Li, Y. Soh, Lihua Xie","doi":"10.1109/ICCA.2017.8003143","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003143","url":null,"abstract":"This paper studies the design of dynamic outputfeedback protocols for H∞ consensus of homogeneous linear multi-agent systems over general directed graphs. Except for the consensus objective when no disturbance exists, the design protocol is also expected to guarantee an H∞ norm level of the error system from disturbances to the error signal. The H∞ consensus problem is first transformed into an H∞ outputfeedback control problem of a reduced-order system. Then based on the bound real lemma, a sufficient condition in terms of a Riccati equation and two linear matrix inequalities is derived for the existence of a desired output-feedback protocol. Compared with the existing results, the proposed design method can deal with output-feedback H∞ consensus over general directed graphs containing a spanning tree, which is illustrated by a numerical example.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114419033","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":"Fixed-order output feedback controller design for discrete-time T-S fuzzy affine systems using quantized measurements","authors":"Wenqiang Ji, Jianbin Qiu, Tong Wang, Anqing Wang","doi":"10.1109/ICCA.2017.8003125","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003125","url":null,"abstract":"This paper addresses the problem of robust fixed-order dynamic output feedback (DOF) control for a class of Takagi-Sugeno (T-S) fuzzy affine systems via utilizing quantized measurements. Through a state-input augmentation method and piecewise quadratic Lyapunov functions, some sufficient conditions for fixed-order piecewise affine DOF controller synthesis are developed. It is noted that by some convexification techniques and S-procedure, sufficient conditions for the DOF controller synthesis are obtained in terms of a set of linear matrix inequalities (LMIs). One illustrative simulation example is shown to verify the effectiveness of the proposed controller design approach.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114378072","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":"Distributed multi-robot motion planning for cooperative multi-area coverage","authors":"Bin Xin, G. Gao, Yu Ding, Y. Zhu, H. Fang","doi":"10.1109/ICCA.2017.8003087","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003087","url":null,"abstract":"The Cooperative Multi-Area Coverage (CMAC) refers to a class of complex tasks in which multiple robots are required to jointly cover multiple areas by performing specific operations while moving across them. Practical operations may be garbage clearance, demining, area scanning for information acquisition, and so on. This paper proposes a distributed motion planning method for multiple robots to cooperatively accomplish CMAC tasks. Firstly, a general multi-robot task model recently proposed, named multi-point dynamic aggregation (MPDA), is applied to formulate the multi-robot motion planning problem in CMAC. Then, a rule-based heuristic for the distributed motion planning of each single robot is set forth. Further, coordination mechanisms are proposed to coordinate multiple robots from the perspective of both task allocation and motion planning. Simulations validate the effectiveness of the proposed distributed motion planning method.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117013578","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}
Hasith Karunasekera, Handuo Zhang, Tao Xi, Han Wang
{"title":"Stereo vision based negative obstacle detection","authors":"Hasith Karunasekera, Handuo Zhang, Tao Xi, Han Wang","doi":"10.1109/ICCA.2017.8003168","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003168","url":null,"abstract":"Autonomous robots also known as Unmanned Ground Vehicles (UGV) is of broad and current interest, in both research and industry. Many studies have been done in stereo vision based UGV vision in positive obstacle detection and avoidance, but negative obstacle detection and avoidance remains less explored. In this paper, we propose a new method to detect negative obstacles incorporating the knowledge gained from stereo vision and detecting saliency on the ground plane. Experimental results show that our method works well on detecting negative obstacles.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117293064","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":"Event-triggered control of nonlinear systems: A small-gain paradigm","authors":"Zhong-Ping Jiang, Tengfei Liu, Pengpeng Zhang","doi":"10.1109/ICCA.2017.8003067","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003067","url":null,"abstract":"This paper presents a review on the nonlinear small-gain approach to event-triggered control of nonlinear systems. First, this paper shows the basic idea of applying the nonlinear small-gain theorem to event-triggered control of nonlinear systems with full state-feedback. Second, the result for the case of full state feedback is extended to systems with partial state and output feedback, by introducing a dynamic event-triggering mechanism. Third, an estimation mechanism is employed to estimate the influence of unmeasurable state and external disturbance, and the estimate is used to trigger the sampling events.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124024496","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":"Relationship among different constructive models of belief revision","authors":"Hua Meng, Hailiang Zhao, Jielei Chu","doi":"10.1109/ICCA.2017.8003197","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003197","url":null,"abstract":"In the area of belief revision, several different constructive models were discussed in the literature, such as epistemic entrenchment, system of spheres, faithful total preorder and so on. All these models could be used to characterise AGM revision operators. However, the relationship among these models was absent. This paper mainly concerns whether these models are equivalent, and whether we can construct one model from another. Moreover, the capabilities of these different models are compared.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124595707","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":"Robot coordination to create collaborative panoramic images","authors":"T. Arauz, J. Maestre, A. Romero, G. Stojanovski","doi":"10.1109/ICCA.2017.8003171","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003171","url":null,"abstract":"In this work, we deal with the problem of coordinating a set of autonomous agents equipped with cameras whose goal is to obtain a panoramic image. To this end, we optimize a multi-objective cost function that accounts for elements such as the number of matched points between the images, the distance between the agents, and the distance to a certain point of interest. Basic solutions for this problem are presented considering two different approaches: centralized and distributed coordination of the agents. For both approaches results are presented and assessed via simulation by using extensive search and heuristic methods.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124602429","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}
Hasala Gallolu Kankanamalage, Yuandan Lin, Yuan Wang
{"title":"On notions of input-to-output stability for nonlinear systems with time delays","authors":"Hasala Gallolu Kankanamalage, Yuandan Lin, Yuan Wang","doi":"10.1109/ICCA.2017.8003109","DOIUrl":"https://doi.org/10.1109/ICCA.2017.8003109","url":null,"abstract":"In this work we consider a variety of notions related to external stability, i.e., input-to-output stability, for nonlinear systems with time delays. As known for delay-free systems, there are different ways of defining precisely the notions of input-to-output stability that are intrinsically different from each other. The main objectives of this work are to illustrate the relations among the different notions of external stability for delay systems.","PeriodicalId":379025,"journal":{"name":"2017 13th IEEE International Conference on Control & Automation (ICCA)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128405934","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}