{"title":"Robust adaptive Kalman filtering for target tracking with unknown observation noise","authors":"Yongchen Li, Jian-xun Li","doi":"10.1109/CCDC.2012.6244334","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244334","url":null,"abstract":"The Kalman filter (KF) is widely used in the field of target tracking. In practical target tracking systems through, the observation noise is often unknown and characterized by heavier tails named outliers. That will affect the performance of target tracking seriously and even lead to filtering divergence. To overcome this problem, a novel robust Kalman filter (RKF) is proposed based on the maximum a posteriori (MAP) estimation to observation outliers. In addition, the adaptive estimate of observation noise variance R is also given based on the weighted correlation innovation (WCI) sequences of output of a steady state Kalman filter (SSKF). Finally, a robust adaptive Kalman filter (RAKF) algorithm is raised by implementing RKF and adaptive estimate of R simultaneously. The feasibility of the algorithm is demonstrated by an example of target tracking with simulation.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"222 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131507149","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":"Further results on absolute stability of Lur'e systems with interval time-varying delay","authors":"Hongbing Zeng, Yong He, Min Wu, Shenping Xiao","doi":"10.1109/CCDC.2012.6244082","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244082","url":null,"abstract":"This paper is focused on the absolute stability of Lur'e systems with interval time-varying delay. By constructing a complete delay-decomposing Lyapunov-Krasovskii functional and considering the relationship between the time-varying delay and time-varying interval, less conservative delay-range-dependent stability criteria in terms of linear matrix inequalities (LMIs) are obtained, which have wider application than the existing ones because the low bound and upper bound of time-varying delay can be freely decomposed at one's discretion. A numerical example is given to show the effectiveness of the proposed method.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131546442","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 new fault detection and diagnosis approach for a distillation column based on a combined PCA and ANFIS scheme","authors":"I. Karimi, K. Salahshoor","doi":"10.1109/CCDC.2012.6244542","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244542","url":null,"abstract":"In this paper, a new approach is introduced for fault detection and diagnostic. The method uses integration of PCA (Principal Component Analysis) and ANFIS (Adaptive Neuro -Fuzzy Inference System). PCA is employed to reduce the recorded data dimension and yet extract informative features for fault detection purpose. The reduced data is then fed to ANFIS to discriminate the occurred fault. Resolution of the multiple ANFISs is enhanced through adequate selection of the utilized membership function (MF) numbers to compensate for the large number of possible created rules. This approach naturally removes extra pressure on each ANFIS to yield good responses only on close neighborhood of faulty data in training process. The combination of boundary models in the extra number of MFs provides fault isolation of the faulty plant section even when novel faults. The key point of this approach is the ability to detect and diagnose any novel fault with the same time-response pattern but different severities. The efficacy of the proposed FDD approach has been demonstrated via extensive conducted tests in a distillation column benchmark.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126576905","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":"The convergence of parameter estimates and the real structure information of plant are both unnecessary for a general self-tuning control system - Arbitrary deterministic plant","authors":"Weicun Zhang, Qing Li, Yinmei Xu, Tao Feng","doi":"10.1109/CCDC.2012.6244324","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244324","url":null,"abstract":"This paper is concerned with the stability and convergence of a general deterministic self-tuning control (STC) system, which consists of arbitrary control strategy and arbitrary estimation algorithm. The plant may be linear or non-linear, time-invariant or time varying. The conditions required for global stability and convergence are relaxed, i.e., the convergence of parameter estimates and the real structure information of plant are both removed. It is therefore argued that external excitation signal is not necessary for deterministic STC system. In other words, feedback information of STC system itself is sufficient to achieve the control objective (regulation or tracking). The key point is that with the help of Virtual Equivalent System (VES) concept, the original nonlinear dominant (nonlinear in structure) problem of STC is converted to a linear dominant (linear in structure) problem-deterministic slow switching control system.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131031386","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":"Two degree-of-freedom internal model control for first oder open-loop unstable processes with time delay","authors":"D. Liang, Dai Wen zhan, Aiping Yang","doi":"10.1109/CCDC.2012.6244348","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244348","url":null,"abstract":"A two-degree-of-freedom control structure is used for chemical and industrial process with unstable pole and time delay based on modified internal model control. At first, a feedback proportional controller is applied to meet the objective of stable generalized second order plus delay time with overdamp. And then, the tracking controller is designed by the inverse of the model and the performance evaluation, two-step method is used to design the controller load disturbance rejection. The setpoint response and the disturbance response are completely decoupled, at the same time, the both of controller parameters can be adjusted independently to achieve the satisfying control effect. At last, simulation examples show the robust sability and the effectiveness of the control scheme.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133529691","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":"Optimal control for Markovian jump systems with colored process noise","authors":"Longmei Zhang, Jin Zhu, Linpeng Wang, Huiyu Jin","doi":"10.1109/CCDC.2012.6244116","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244116","url":null,"abstract":"This paper investigates optimal controller design for Markovian jump systems with colored process noise. Since the colored process noise can be obtained by white noise through shaping filter, we get new equivalent equations of the concerned systems by using expansion vector method. Based on this, the optimal estimator in mean squared sense is deduced by adopting Kalman filter. According to the separation principle, the feedback controller only depends on the state estimation variables. With the desired controller for such Markovian jump systems, the quadratic control performance of such systems can be minimized. A numerical simulation illustrates the validity of this method.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"344 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133321434","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 back-stepping control strategy for the Tri-rotor UAV","authors":"A. Kulhare, A. B. Chowdhury, G. Raina","doi":"10.1109/CCDC.2012.6244556","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244556","url":null,"abstract":"Over the last decade, the use of Unmanned Aerial Vehicles (UAVs) has increased dramatically in both military surveillance and in civilian search and rescue operations. In this paper, we focus on the Tri-rotor UAV. We start by developing a model for a Tri-rotor UAV where our objective is to enable the rotor-craft to stabilize itself automatically at any desired hovering position. The Tri-rotor is composed of three rotors which are equidistant from its center of gravity. In contrast to a Quad-rotor, the rotors in a Tri-rotor introduce a destabilizing reaction torque to the system. This aspect of the Tri-rotor provides additional modeling challenges as compared to the Quad-rotor. The Tri-rotor is modeled using the Euler-Lagrange formalism. The speed of the rotors and tilt angle of one of the rotors constitute the four control inputs. The model acts as an underactuated one, as the model is a 6 Degree Of Freedom (DOF) model with only 4 external inputs. For the stabilization of the model, a back-stepping non-linear control is implemented, and the proposed controller is also analyzed by simulations.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132105929","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":"Wavelet neural networks based fault diagnosis of analog circuit","authors":"Liu Xiaoqin, Wang Dazhi","doi":"10.1109/CCDC.2012.6244359","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244359","url":null,"abstract":"The fault diagnosis of analog circuits has made many ways, such as the fault dictionary method, device parameter identification method and so on. However, due to the diversity of fault types, component tolerances, nonlinear, and the measured response signal usually contains non-stationary and time-varying signal component in the analog circuit failure, the fault diagnosis becomes difficult. Fault diagnosis method based on wavelet neural network can solve these problems. Multisim software is used to establish analog circuits, wavelet neural network is trained by additional momentum term and adaptive learning rate BP algorithm, the characteristics of analog circuit fault is classified and identified, simulation results demonstrate the effectiveness of the method.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"51 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132150833","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":"Catastrophe control of a nonlinear oscillator under parametric excitations","authors":"Zengkun Qi, Yuntao Han","doi":"10.1109/CCDC.2012.6244222","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6244222","url":null,"abstract":"The example of the roll motion of a biased ship in longitudinal waves is taken to determine the vibration solutions to the nonlinear oscillator by applying catastrophe and bifurcation theory in this paper. First, the catastrophe characteristic of the roll motion of a biased ship in longitudinal waves is proved by transforming the governing equation of the motion to butterfly catastrophe model. Then, the critical point of catastrophe occurrence is found by applying multiple time scale perturbation method and bifurcation analysis to the governing equation. Last, controller is designed to control the critical point in a stable area, which restricted the catastrophe phenomenon of the roll motion by simulation verification.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132445145","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}
M. Li, L. Tian, Zhiliang Chen, Xingli Wu, Yongliang Wang
{"title":"A kind of imitated environment system for plant growth based on LED light source","authors":"M. Li, L. Tian, Zhiliang Chen, Xingli Wu, Yongliang Wang","doi":"10.1109/CCDC.2012.6242981","DOIUrl":"https://doi.org/10.1109/CCDC.2012.6242981","url":null,"abstract":"Along with the continuous development of LED technology, LED light source gets more attention in the field of research of plant cultivation because of its small volume, long lifetime, good spectrum property, high luminous energy utilization, adjustable light quality and intensity and so on. According to the demand of plant growth environment, the paper designed a kind of imitated environmental system for plant growth based on LED light source. The system with the core of ATmega128L micro-controller, collocate with LED board, humiture sensor and CO2 sensor and so on, could imitate natural temperature, humidity and illumination etc., and adjust all kinds of parameters to set various combination ecotope to fit plant growth. After actual application, it works well.","PeriodicalId":345790,"journal":{"name":"2012 24th Chinese Control and Decision Conference (CCDC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2012-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132763978","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}