Conference Program of WCICA 2012

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Conference Program WCICA 2012 Ma, Chao Capital Univ. of Economics & Business In order to single out pedestrian crossing from real-life scenarios, this paper does the priori and likelihood modeling in Bayesian framework based on defined block-based Markov random field. By obtaining its maximum a posteriori estimation of its central location and direction it focuses on the crossing based on coarse to fine technique and covariance matrix descriptor. Finally, it spreads around the central point and gets its scope by randomly generating some rectangles. Experimental results illustrates its role in real application. ◮ SuA06-5 14:50–15:10 Robot Aided Object Segmentation without Prior Knowledge, pp.4797– 4802 Li, Kun Meng, Max, Q.-H. Chen, Xijun The Chinese Univ. of Hong Kong The Chinese Univ. of Hong Kong The Chinese Univ. of Hong Kong In robot perception system, distinguishing objects from complex environment is a difficult problem if without prior information. In this article, we study three cases that a robot may encounter in real-world application, no movable object, one object, or multiple objects, and then provide an object segmentation strategy through object manipulation for each condition. The result shows that this method can provide sufficient prior information for accurate objects segmentation from robot’s observation. Through this unsupervised algorithm, a robot can learn objects around reliably. ◮ SuA06-6 15:10–15:30 Adaptive Switching Anisotropic Diffusion Model for Universal Noise Removal, pp.4803–4808 Wang, Wei Lu, Peizhong Fudan Univ. Fudan Univ. In this paper, a novel method is presented for universal noise removal from corrupted digital images based on Adaptive Switching Anisotropic Diffusion (ASAD) model. The originality of ASAD is utilizing Local Difference Factor (LDF) to identify impulse noise or Gaussian noise. Initially, LDF is computed from intensity values of pixels in a neighborhood using weighted statistics. Subsequently, directional weighted median (DWM) and anisotropic diffusion (AD) are adopted to filter noise respectively. In addition, we use LDF to control the diffusion process adaptively incorporating with local gradient. As LDF indicates the local statistical property of image pixels, image edges and details can be finely preserved while filtering out noise. Simulation results show that the restored images by our method have high peak signal-to-noise ratio and great image quality by efficiently removing salt-and-pepper noise, uniform impulse noise, Gaussian noise and mixed noise. ◮ SuA06-7 15:30–15:50 The Recognition of EEG With CSSD and SVM, pp.4741–4746 Li, Mingai Lu, Chanchan Beijing Univ. of Techology Beijing Univ. of Techology With time-varying volatility and individual differences,EEG signals are difficult to analyse. The recognition performance of the traditional feature extraction is lowered due of the difficulty in tracking the dynamic changes of EEG. In this paper the Common Spatial Subspace Decomposition (CSSD) algorithm was improved(named Improved-CSSD), putting forward a kind feature extraction method which has the performance of adaptive ability.This method introducded control parameters,which added the training samples of the assistants to that of the target subject in some way .Finally, based on the data of the international BCI competition database, some simulation experiments were conducted by recognizing EEG signals by Improved-CSSD and SVM. Compared with the traditional CSSD, classification accuracy was increased about 8.26% by Improved-CSSD. The result showed that the approach, proposed in this paper, had a good adaptability and a low time loss. SuA07 13:30–15:50 Room 303 Advanced Control Algorithms and Applications (III) Chair: Zou, Yuanyuan Co-Chair: LIU, Jinkun East China Univ. of Sci. & Tech. Beihang Univ. ◮ SuA07-1 13:30–13:50 On-line Squaring of Non-square Hard Constraints of Input Variable by Coordinate Alternating in Model Predictive Control, pp.2529–2536 LUO, Xiong-lin Wang, Shubin China Univ. of Petroleum China Univ. of Petroleum, Beijing Commonly there exit many square amplitude constraints in process control. These constraints are high and low limits of input variable, input variable variation and output variable. For the requirement of process or control, there may be a few non-square hard constraints of input variable in addition. These non-square constraints are composed of the amplitude limits of linear function of input variables, and they cannot be solved by MPC directly. To ensure the implementation of MPC, a method to transform non-square constraint into square constraint online by coordinate alternating is proposed. By using the previous step input value and the high limit of input variable variation, some appropriate treatments of these non-square constraints are made. Simulation results of two system control problems show the effectiveness of the proposed method. ◮ SuA07-2 13:50–14:10 Sliding Mode Control with Extended State Observer for the Boiler Steam Pressure of Fuel-steam Pressure System, pp.2570–2575 CUI, Zhiqiang LIU, Jizhen LIU, Jinkun China Power Investment Corporation North China Electric Power Univ. Beihang Univ. The boiler steam pressure is an important parameter reflecting the s- tate of boiler operation. Considering the disturbance and uncertainty of the fuel-steam pressure system, only using pressure signal, an extended state observer is designed, and sliding mode controller is designed based on disturbance and uncertainty compensation. From Lyapunov stability analysis, it is shown that the closed system stability can be guarantee. Simulation results are presented to validate the good system robustness and good tracking performance of the control system. ◮ SuA07-3 14:10–14:30 A predictive Energy Management Strategy for Hybrid Electric Bus Based on Greedy Algorithm, pp.2782–2787 Pan, Zheng Song, Chunyue Zhejiang Univ. Zhejiang Univ. Bus runs on a fix route, which makes it possible to design a predictive Energy Management Strategy (EMS) for hybrid electric bus to achieve better overall efficiency. A new predictive EMS is proposed based on the prediction of the bus’s velocity profile. Firstly, the bus’s velocity profile is predicted via historic driving data and real-time driving data, which provide the future power demand. Then according to the prediction of the velocity profile, the torque spilt is optimized by greedy algorithm. The obtained EMS requires very little computational time and is suitable for real-time implement. Simulation shows that the fuel economy of the presented approach is better than the electric assist control strategy in the Advanced Vehicle Simulator (ADVISOR). ◮ SuA07-4 14:30–14:50 Predictive control design subject to multiple missing measurements, pp.2701–2705 Zou, Yuanyuan Niu, Yugang East China Univ. of Sci. & Tech. East China Univ. of Sci. & Tech. This paper investigates the problem of predictive control for control systems with multiple missing measurements. An extended stochastic model is introduced to describe and compensate missing data. The state feedback control scheme is designed to minimize an upper bound on the expected value of an infinite horizon quadratic performance objective at each sampling instant. It is shown that the present scheme can guarantee the stochastic stability of the closed-loop system. ◮ SuA07-5 14:50–15:10 An approach of constraint boundaries tuning based on shadow price for two-layered predictive control, pp.2685–2690 Zou, Tao Xiang, Weilong Zhejiang Univ. of Tech. Zhejiang Univ. of Tech. 210
WCICA 2012 Book of Abstracts: Sunday Sessions Ding, Baocang Li, Shaoyuan Xi’an Jiao Tong Univ. Shanghai Jiao Tong Univ. In this paper, cellular automata with boundaries are addressed by using the theories of semi-tensor product and Drazin inverse of matrices. For a cellular automaton with boundaries, a dynamical system model is constructed, then a necessary and sufficient condition for the reversibility is given, and a concept of generalized inverse cellular automaton that characterizes the local energy conservation is presented. Besides, a representation for the (generalized) inverse cellular automaton together with a unified algorithm to calculate it is given. Some examples are given to illustrate the algorithm. Shadow prices show the effect, which were caused by variations of constrained boundaries, to optimum value of objective function under the current optimal strategy. In this paper, a LP-MPC form of two-layered predictive control was described, and a constraint tuning strategy based on shadow price was proposed under this structure. The nature of disturbance can be evaluated according to the history data of process, then, combine with constraint conditions of the process, tuning boundaries will be obtained. The shadow prices for constrained boundaries of steady-state target calculation were counted based on solving a linear programming and its dual problem. Then, the constraint boundaries, which influence the objective optimum effectively, were handled selectively. The process will be pushed to allowable operation boundaries, to increase the economic benefit. Finally, in a practical process, a simulation example was conducted in order to verify the useful of shadow price to constraint tuning for two-layered predictive control. ◮ SuA07-6 15:10–15:30 Extended robust iterative learning control design for industrial batch processes with uncertain perturbations, pp.2728–2733 Liu, Tao Shao, Cheng Dalian Univ. of Tech. dalian Univ. of Tech. For industrial batch processes subject to uncertain perturbations from cycle to cycle, a robust iterative learning control (ILC) scheme is proposed in this paper to realize robust tracking of the set-point profile for system operation. An important merit is that only measured output errors of current and previous cycles are used to design a synthetic ILC controller consisting of dynamic output feedback plus feedforward control, for the convenience of implementation. By introducing a slack variable matrix to construct a less comprehensive two-dimensional (2D) difference Lyapunov function that guarantees monotonical state energy decrease in both the time and batchwise directions, sufficient conditions are established in terms of linear matrix inequality (LMI) constraints for holding robust stability of the closed-loop ILC system. By solving these LMI constraints, the ILC controller is explicitly formulated, together with an adjustable robust H infinity performance level. An illustrative example of injection molding is given to demonstrate the effectiveness and merits of the proposed ILC design. ◮ SuA07-7 15:30–15:50 Discrete-time Stochastic Iterative Learning Control: A Brief Survey, pp.2624–2629 Shen, Dong XIONG, Gang Inst. of Automation, Chinese Acad. of Sci. Inst. of Automation,Chinese Acad. of Sci. This note gives a brief survey on discrete-time stochastic iterative learning control (SILC) from three aspects, namely, SILC for linear system, nonlinear system and system with other stochastic signal. Two major approaches, stochastic Kalman filtering approach and stochastic approximation approach, for SILC are proposed. Some open questions are also included. SuA08 13:30–15:30 Room 310 Invited Session: Applications of Semi-tensor Product to Control Chair: Feng, Jun-e Co-Chair: Lv, Hongli Shandong Univ. Shandong Jianzhu Univ. ◮ SuA08-1 13:30–13:50 Generalized Reversibility of Cellular Automata with Boundaries, pp.418–423 Zhang, Kuize Zhang, Lijun College of Automation, Harbin Engineering Univ. Harbin Engineering Univ. ◮ SuA08-2 13:50–14:10 Solving a Class of Fuzzy Relation Inequalities via Semi-tensor Product, pp.1465–1470 Fan, Hongbiao Feng, Jun-e Zhang, Lequn Shandong Univ. Shandong Univ. Shandong Univ. The problem of solving a class of fuzzy relation inequalities (FRIs) is investigated. First, it is shown that if the FRI is solvable, there is a corresponding parameter solution set (briefly, PSS). Then the semi-tensor product of matrices is used to convert the logical inequality into its algebraic form via the vector expression of logical variables. Under this form all the PSS can be obtained. It is proved that all the solutions can be derived from their corresponding PSS. An example is presented to demonstrate the effectiveness of the algorithm provided in this paper. ◮ SuA08-3 14:10–14:30 Model-Input-State Matrix of Switched Boolean Control Networks and Its Applications, pp.1477–1482 Zhang, Lequn Feng, Jun-e Shandong Univ. Shandong Univ. The model-input-state matrix of a Switched Boolean Control Network (SBCN) is introduced for the first time. This matrix contains all information of the model-input-state mapping. A necessary and sufficient condition for the controllability of SBCN is obtained. The corresponding control and switching law which drive a point to a given reachable point is designed. One sufficient condition for the observability of a SBCN is obtained. Under the assumption of controllability, one necessary and sufficient condition is derived for the observability. ◮ SuA08-4 14:30–14:50 Algebraic method to pseudo-Boolean function and its application in pseudo-Boolean optimization, pp.2468–2472 Li, Zhiqiang Song, Jinli Xiao, Huimin Henan Univ. of Economics & Law Henan Univ. of Economics & Law Henan Univ. of Economics & Law In this paper, the optimization of pseudo-Boolean functions is considered. Boolean variables are expressed into their vector form. Using semi-tensor product, the pseudo-Boolean function is expressed as its normal form and algebraic form. Based on the normal form, we discuss the optimal approximation problem of pseudo-Boolean function. ◮ SuA08-5 14:50–15:10 Model Construction of Fuzzy Relation Matrices and Application in Intelligent Environmental Comfort Systems, pp.2239–2244 Lv, Hongli Feng, Jun-e Cheng, Daizhan Shandong Jianzhu Univ. Shandong Univ. Chinese Acad. of Sci. Using semi-tensor product (STP) of matrices, with observed datasets, this paper proposes a new and more general framework to construct a matrix-based fuzzy relation structure model for multi-input multi-output (MIMO) fuzzy control systems. The measured sampling data of inputs and outputs are assumed to be obtained from experiments. Instead of building the fuzzy logical rule sets of a fuzzy dynamical process, the algebraic form is constructed directly. The whole designing process can be realized via matrix expression and algebraic computing. Then this novel fuzzy controller is applied into a thermal comfort control system and works well with good controlled performance. The new technique proposes one general design method to obtain a fuzzy relation matrix expression of multiple variables fuzzy control systems. It is particularly suitable to design fuzzy controllers of non-decomposable multi-output systems, which is not solvable directly by the traditional decomposed control design methods. ◮ SuA08-6 15:10–15:30 Reachability and Controllability of BCNs Avoiding States Set, pp.2329– 2334 211
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WCICA 2012 The 10 th World Congress
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