{"title":"Active fault tolerant control with sliding mode observer","authors":"Li Hao, Yang Ying, Zhang Yong, Zhao Zhengen","doi":"10.1109/CHICC.2015.7260621","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260621","url":null,"abstract":"In this paper, the fault tolerant control problem is studied and the actuator fault resulting from loss of actuator effectiveness is considered. A fault tolerant controller consisting of two parts is proposed and each part can be designed separately. One part aims to maintain the stability and desired performance of the system and the other part is used to compensate the fault with the fault reconstruction information. The sliding mode observer is designed for the state estimation and the fault reconstruction. The regional pole placement is applied to assign the poles in a specified disk and improve the system performance. The Lyapunov function approach is considered for the design of the first part controller and the designed parameter matrix can be solved by linear matrix inequality (LMI) technique with multi-constraint conditions. Simulation studies are undertaken in an aircraft system to show the efficiency of the proposed scheme.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125544929","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":"Simulating driving feel for virtual driving simulator based on semi-physical simulation","authors":"Xiao Shuxian, Zhang Linxuan","doi":"10.1109/CHICC.2015.7261043","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7261043","url":null,"abstract":"Drivers make use of the driving feel to obtain information about the road condition and vehicle performance. Driving feel which consists of steering feel and vibrant feel of seat, is a significant index to the evaluation of handling stability and driving comfort. The study of driving feel aids automotive experts to improve their design proposal. The application of virtual driving simulator abates the cost of test cars and it is unnecessary to go to the testing field conducting a variety of complex experiments. In this paper, the architecture of AVSoD system based on Unity and numerical simulation is proposed, the models of steering system and hang system, the control strategy of force feedback steering wheel and the control strategy of motion platform are considered. The realization of controlling hardware gives users the authentic feel of driving which can be used to assess and guide the modification of vehicle models.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"133 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121529143","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":"Fault detection filtering for a kind of nonlinear Markovian jump systems with mode-dependent time-varying delays and parameter uncertainties","authors":"Zhuang Guangming, Zhang Huasheng, Zhao Junsheng, Xiao Jianwei","doi":"10.1109/CHICC.2015.7260079","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260079","url":null,"abstract":"This paper investigates the problem of robust H∞ fault detection for a class of nonlinear Markovian jump stochastic systems (MJSSs) with mode-dependent time-varying delays and parameter uncertainties. We design a linear mode-dependent fault detection filter that ensures, for all admissible uncertainties, the fault detection system is not only stochastically asymptotically stable in the large, but also satisfies a prescribed H∞-norm level. Some novel delay-dependent sufficient conditions for the solvability are obtained. The desired fault detection filter can be constructed by solving a set of linear matrix inequalities. Then, detection threshold of the filter is also discussed and a numerical example is provided to demonstrate that the fault detection filter is not only robust to disturbances but also sensitive to faults.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121629542","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}
S. Canale, F. Delli Priscoli, S. Monaco, L. Palagi, V. Suraci
{"title":"A reinforcement learning approach for QoS/QoE model identification","authors":"S. Canale, F. Delli Priscoli, S. Monaco, L. Palagi, V. Suraci","doi":"10.1109/CHICC.2015.7259941","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259941","url":null,"abstract":"In the last decade, researchers has focused their studies on the mathematical relation between the Quality of Service (QoS) and the user Quality of Experience (QoE). This paper investigates the problem of modelling the user QoE feedback in the next generation networks. The problem has been formulated and solved using a reinforcement learning technique. The proposed approach is innovative since it does not require an explicit knowledge of the mathematical model describing the network dynamics or the QoS/QoE relationship since it is learnt on-line. Simulation results shows that the proposed solution can adapt dynamically to the user behavior.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115486951","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 event-triggered bipartite consensus for multiple agents over signed graph topology","authors":"Jiang Zeng, Fangyuan Li, Jiahu Qin, W. Zheng","doi":"10.1109/CHICC.2015.7260735","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260735","url":null,"abstract":"The aim of this paper is to address the bipartite consensus for multi-agent systems with directed and undirected graph topologies, using distributed event-triggered control under the assumption that the interactions of agents can be described by a weighted, signed, structurally balanced graph. In this paper, we present a distributed event-triggered control method, where the feedback control law is based on the information from its own latest observations and its neighbors', to deal with the bipartite consensus under both undirected and directed topologies. It is proven that the single-integrator multi-agent systems can reach bipartite consensus under the trigger condition if the network topology is undirected and connected or directed and strongly connected. Some simulations are presented to illustrate the theoretical results.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"139 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123493890","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":"Introducing robustness in controllability of neuronal networks","authors":"Tang Yang, Du Wei","doi":"10.1109/CHICC.2015.7259823","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259823","url":null,"abstract":"This paper addresses robust multiobjective identification of driver nodes in the neuronal network of a cat's brain, in which uncertainties in determination of driver nodes and control gains are considered. A framework by including interval uncertainties is proposed for robust controllability. It is revealed that the existence of uncertainties in choosing driver nodes and designing control gains heavily affect the controllability of neuronal networks.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121714878","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":"Nonlinear model predictive control of an intensified continuous reactor using neural networks","authors":"Li Shi, Li Yueyang","doi":"10.1109/CHICC.2015.7260271","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7260271","url":null,"abstract":"In this work a neural network based nonlinear model predictive control algorithm is developed and applied for an intensified continuous reactor. At first, a neural network model of the process is trained and tested using available data sets generated from the first-principal model. Next, a local linearization of neural network model at every sample time is developed to guarantee an efficient online optimization. Simulations are implemented for set point tracking and model mismatch scenarios.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133195405","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 between MP and DPP for stochastic differential games with g-expectation","authors":"Shi Jingtao","doi":"10.1109/CHICC.2015.7259882","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259882","url":null,"abstract":"This paper is concerned with the relationship between maximum principle (MP) and dynamic programming principle (DPP) for zero-sum stochastic differential games with g-expectation. Under certain differentiability conditions, relations among the adjoint processes, the generalized Hamiltonian function and the value function are given.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122511740","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":"Coal washing plant cyclone module control with a pump-storage system","authors":"Lijun Zhang, X. Xia","doi":"10.1109/CHICC.2015.7259802","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259802","url":null,"abstract":"A control system for coal beneficiation dense medium cyclone (DMC) circuit has been presented. The objective of the controller is to minimize energy consumption and the associated cost, and to maintain the quality of fine coal output from the DMC circuit to set level. The former is achieved largely by introducing a pump-storage system and the latter is reached by manipulating the density of the dense medium used in the DMC. The medium circulation, including magnetite recycling and water and make-up magnetite addition are modelled mathematically, according to which the control problem under consideration is formulated. A controller is designed to adjust the positions of two valves responsible for water and magnetite addition, respectively, according to sampled measurements on the composition percentages in the run-of-mine feed coal to the DMC circuit. Using operating data from a real mine, the effectiveness of the presented system is investigated and verified. It is shown that the designed system is able to maintain fine coal quality to a set level while remarkably reducing energy consumption of the coal preparation plant. In the studied case, an energy saving of 62.4%, which translates to 52.78GWh per annum is obtained. This reduced energy consumption then contributes to 5 446 896 US dollars cost savings for the plant per annum.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127900307","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}
Zhang Yunong, Liu Ming, Jin Long, Zhang Yinyan, Tan Hong-zhou
{"title":"Synchronization of two chaotic systems with three or two inputs via ZG method","authors":"Zhang Yunong, Liu Ming, Jin Long, Zhang Yinyan, Tan Hong-zhou","doi":"10.1109/CHICC.2015.7259696","DOIUrl":"https://doi.org/10.1109/CHICC.2015.7259696","url":null,"abstract":"Recently, the synchronization of two chaotic systems is attracting more and more attentions because of its potential applications in communication security, aerospace industry and many other fields. In this paper, by combining Zhang dynamics (ZD) and gradient dynamics (GD), a novel effective controller-design method termed Zhang-gradient (ZG) method is firstly developed for the chaos synchronization problem with multiple inputs (i.e., three or two inputs). Via this ZG method, the traditional three-input chaos synchronization problem can be successfully solved with desirable convergence rate and satisfactory accuracy. In addition, by taking advantage of the coupling property of the chaotic system, a creative extension of the ZG method is investigated to solve the thorny two-input chaos synchronization problem. Simulation verifications further demonstrate that the controllers based on the ZG method can not only achieve satisfactory synchronization accuracy and exponential convergence rate on the three-input chaos synchronization problem but also successfully solve the chaos synchronization problem with only two inputs.","PeriodicalId":421276,"journal":{"name":"2015 34th Chinese Control Conference (CCC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128702673","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}