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Showing results 2107 to 2126 of 3329 < previous   next >
PreviewIssue DateTitleAuthor(s)
2016Network-based event-triggered filtering for Markovian jump systemsWang, H.; Shi, P.; Agarwal, R.
2011Network-based feedback control for systems with mixed delays based on quantization and dropout compensationYang, R.; Shi, P.; Liu, G.; Gao, H.
2013Network-based Halpha output feedback control for uncertain stochastic systemsWu, J.; Karimi, H.; Shi, P.
2013Network-based robust passive control for fuzzy systems with randomly occurring uncertaintiesWu, Z.; Shi, P.; Su, H.; Chu, J.
2017Networked and distributed control method with optimal power dispatch for islanded microgridsLi, Q.; Peng, C.; Chen, M.; Chen, F.; Kang, W.; Guerrero, J.M.; Abbott, D.
2015Networked control systems: the communication basics and control methodologiesZhao, Y.; Sun, X.; Zhang, J.; Shi, P.
2018Networked fault detection for Markov jump nonlinear systemsDong, S.; Wu, Z.; Shi, P.; Karimi, H.; Su, H.
2008Networked RFID systemsRanasinghe, D.; Cole, P.; Cole, P.; Ranasinghe, D.
2008Networked RFID systems and lightweight cryptography : raising barriers to product counterfeitingCole, P.; Ranasinghe, D.
2001Neural information transfer in a noisy environmentMcDonnell, M.; Pearce, C.; Abbott, D.; Bergmann, N.W.; Electronics and Structures for MEMS II (2nd : 2001 : Adelaide, Australia)
2020Neural network adaptive dynamic sliding mode formation control of multi-agent systemsFei, Y.; Shi, P.; Lim, C.C.
1999A neural network based anti-skid brake systemMazumdar, S. K.; Lim, C. C.
2010Neural network based stochastic optimal control for nonlinear Markov jump systemsLuan, X.; Liu, F.; Shi, P.
2015Neural network-based adaptive dynamic surface control for permanent magnet synchronous motorsYu, J.; Shi, P.; Dong, W.; Chen, B.; Lin, C.
2017Neural network-based passive filtering for delayed neutral-type semi-Markovian jump systemsShi, P.; Li, F.; Wu, L.; Lim, C.
2020Neural networks-based distributed adaptive control of nonlinear multiagent systemsShen, Q.; Shi, P.; Zhu, J.; Wang, S.; Shi, Y.
2009Neural population coding is optimized by discrete tuning curvesNikitin, A.; Stocks, N.; Morse, R.; McDonnell, M.
2011Neural signal transduction aided by noise in multisynaptic excitatory and inhibitory pathways with saturationDuan, F.; Chapeau-Blondeau, F.; Abbott, D.
2018Neural-network-based adaptive backstepping control with application to spacecraft attitude regulationCao, X.; Shi, P.; Li, Z.; Liu, M.
2012Neural-network-based decentralized adaptive output-feedback control for large-scale stochastic nonlinear systemsZhou, Q.; Shi, P.; Liu, H.; Xu, S.