By Yingmin Jia, Junping Du, Hongbo Li, Weicun Zhang
This publication provides chosen examine papers from the 2015 chinese language clever structures convention (CISC’15), held in Yangzhou, China. the themes coated comprise multi-agent structures, evolutionary computation, man made intelligence, complicated platforms, computation intelligence and gentle computing, clever keep watch over, complex keep watch over know-how, robotics and functions, clever info processing, iterative studying regulate, and computer studying. Engineers and researchers from academia, and the govt. can achieve invaluable insights into suggestions combining principles from a number of disciplines within the box of clever systems.
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Extra resources for Proceedings of the 2015 Chinese Intelligent Systems Conference: Volume 1
5 Conclusion An online identiﬁcation approach was proposed for discrete Preisach model of hysteresis nonlinearity in this paper. The identiﬁcation computation was simpliﬁed by matrix calculation. Then, a WFRLS was adopted on this discrete system to estimate the parameters and a robust adaptive control scheme was presented based on the 5 Online Identiﬁcation and Robust Adaptive Control for Discrete . . 49 identiﬁcation without inverse Preisach model to compare with other control strategies. In addition, a Lyapunov function candidate was designed to guarantee the stability of the controlled system.
IEEE Trans Autom Control 54(1):48–61 2. Yi P, Hong Y (2014) Quantized subgradient algorithm and data-rate analysis for distributed optimization. IEEE Trans Control Netw Syst 1(4):380–392 3. Ram SS, Nedić A, Veeravalli VV (2010) Distributed and recursive parameter estimation in parametrized linear state-space models. IEEE Trans Autom Control 55(2):488–492 4. Shi G, Johansson KH, Hong Y (2013) Reaching an optimal consensus: dynamical systems that compute intersections of convex sets. IEEE Trans Autom Control 58(3):610–622 5.
Ũ k2 0 0 ũ 33 ... ũ k3 ... 0 ⎤ ⎡????11 ... 0 ⎥ ⎢????21 ... 0 ⎥ ⎢????31 ⎥⎢ ... ⎥ ⎢ ... ũ kk ⎦ ⎣????k1 0 ????22 ????32 ... ????k2 0 0 ????33 ... ????k3 ... 0 ⎤ ... 0 ⎥ ... 0 ⎥ ⎥ ... ⎥ ... 7) 5 Online Identiﬁcation and Robust Adaptive Control for Discrete . . 7), we obtain ∑1 ũ i1 0 0 ⎡y1 ⎤ ⎡∑i=1 ∑2 2 ⎢ 0 ⎢y2 ⎥ ⎢ i=1 ũ i1 i=2 ũ i2 ⎢y3 ⎥ = ⎢∑3 ũ ∑3 ũ ∑3 ũ ⎢ ⎥ ⎢ i=1 i1 i=2 i2 i=3 i3 ... ⎢ ... ⎥ ⎢∑ ... ⎣yk ⎦ ⎣ k ũ ∑k ũ ∑k ũ i=1 i1 i=2 i2 i=3 i3 Considering Eq. 8) and ũ ij = ui −ui−1 i yi = yi−1 + ∑1 ∑i ...