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A 28-nm 19.9-to-258.5-TOPS/W 8b Digital Computing-in-Memory Processor With Two-Cycle Macro Featuring Winograd-Domain Convolution and Macro-Level Parallel Dual-Side Sparsity Journal article
Wu, Hao, Chen, Yong, Yuan, Yiyang, Yue, Jinshan, Wang, Xinghua, Li, Xiaoran, Zhang, Feng. A 28-nm 19.9-to-258.5-TOPS/W 8b Digital Computing-in-Memory Processor With Two-Cycle Macro Featuring Winograd-Domain Convolution and Macro-Level Parallel Dual-Side Sparsity[J]. IEEE Journal of Solid-State Circuits, 2024.
Authors:  Wu, Hao;  Chen, Yong;  Yuan, Yiyang;  Yue, Jinshan;  Wang, Xinghua; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.6/5.6 | Submit date：2024/07/04
Accuracy  Artificial Intelligence  Artificial Intelligence (Ai)  Circuits  Cmos  Computing-in-memory (Cim)  Energy Efficiency  Energy Efficiency  Look-up Table (Lut)  Multiply-accumulation (Mac)  Neural Network (Nn)  Power Demand  Radix16  Table Lookup  Throughput  Unstructured Sparsity  Winograd Convolution  
Optimal Robot-Environment Interaction under Broad Fuzzy Neural Adaptive Control Journal article
Huang, Haohui, Yang, Chenguang, Chen, C. L.Philip. Optimal Robot-Environment Interaction under Broad Fuzzy Neural Adaptive Control[J]. IEEE Transactions on Cybernetics, 2021, 51(7), 3824-3835.
Authors:  Huang, Haohui;  Yang, Chenguang;  Chen, C. L.Philip
Favorite | TC[WOS]:90 TC[Scopus]:116  IF:9.4/10.3 | Submit date：2021/12/08
Broad Learning System (Bls)  Fuzzy-logic Control  Impedance Adaptation  Neural Network (Nn)  State Constraints  
Reduced-order observer-based dynamic event-triggered adaptive NN control for stochastic nonlinear systems subject to unknown input saturation Journal article
Wang, Lijie, Chen, C. L.Philip. Reduced-order observer-based dynamic event-triggered adaptive NN control for stochastic nonlinear systems subject to unknown input saturation[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(4), 1678-1690.
Authors:  Wang, Lijie;  Chen, C. L.Philip
Favorite | TC[WOS]:160 TC[Scopus]:143  IF:10.2/10.4 | Submit date：2021/12/07
Dynamic Event-triggered Mechanism (Dem)  Improved Neural Network (Nn)  Input Saturation  Reduced-order Observer  Stochastic Nonlinear Systems  
New second order sliding mode control design for course-keeping control of ship with input saturation Conference paper
Li M., Liu C., Li T., Chen C.L.P.. New second order sliding mode control design for course-keeping control of ship with input saturation[C], 2018, 462-466.
Authors:  Li M.;  Liu C.;  Li T.;  Chen C.L.P.
Favorite | TC[WOS]:3 TC[Scopus]:4 | Submit date：2019/02/11
Hyperbolic Tangent Function  Input Saturation  Neural Network (Nn)  Second Order Sliding Mode Control  Ship Course Control  
Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems Journal article
Liu, Yan-Jun, Tong, Shaocheng, Chen, C. L. Philip, Li, Dong-Juan. Adaptive NN Control Using Integral Barrier Lyapunov Functionals for Uncertain Nonlinear Block-Triangular Constraint Systems[J]. IEEE TRANSACTIONS ON CYBERNETICS, 2017, 47(11), 3747-3757.
Authors:  Liu, Yan-Jun;  Tong, Shaocheng;  Chen, C. L. Philip;  Li, Dong-Juan
Favorite | TC[WOS]:168 TC[Scopus]:172  IF:9.4/10.3 | Submit date：2018/10/30
Adaptive Control  Barrier Lyapunov Functionals (Blfs)  Neural Network (Nn) Control  Uncertain Nonlinear Systems  
Neural network based dynamic surface second order sliding mode control for AUVs Conference paper
Zhang K., Li T., Li Z., Philip Chen C.L.. Neural network based dynamic surface second order sliding mode control for AUVs[C], 2017, 417-424.
Authors:  Zhang K.;  Li T.;  Li Z.;  Philip Chen C.L.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2019/02/11
Autonomous Underwater Vehicle (Auv)  Dynamic Surface Control (Dsc)  Hyperbolic Tangent Function  Neural Network (Nn)  Second Order Sliding Mode Control  Trajectory Tracking  
Neural Network Based Dynamic Surface Second Order Sliding Mode Control for AUVs Conference paper
Zhang, Kai, Li, Tieshan, Li, Zifu, Chen, C. L. Philip, Sun, F, Liu, H, Hu, D. Neural Network Based Dynamic Surface Second Order Sliding Mode Control for AUVs[C], HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY:SPRINGER-VERLAG BERLIN, 2017, 417-424.
Authors:  Zhang, Kai;  Li, Tieshan;  Li, Zifu;  Chen, C. L. Philip;  Sun, F; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2018/10/30
Autonomous Underwater Vehicle (Auv)  Trajectory Tracking  Dynamic Surface Control (Dsc)  Second Order Sliding Mode Control  Neural Network (Nn)  Hyperbolic Tangent Function  
Output-feedback adaptive neural control for stochastic nonlinear time-varying delay systems with unknown control directions Journal article
Li T., Li Z., Wang D., Chen C.L.P.. Output-feedback adaptive neural control for stochastic nonlinear time-varying delay systems with unknown control directions[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(6), 1188.
Authors:  Li T.;  Li Z.;  Wang D.;  Chen C.L.P.
Favorite | TC[WOS]:220 TC[Scopus]:228 | Submit date：2018/10/30
Adaptive Output Feedback Control  Neural Network (Nn)  Stochastic Nonlinear Systems  Time-varying Delays  Unknown Control Directions  
A new dynamic optimal learning rate for a two-layer neural network Conference paper
Zhang T., Chen C.L.P., Wang C.-H., Tam S.C.. A new dynamic optimal learning rate for a two-layer neural network[C], 2012, 55-59.
Authors:  Zhang T.;  Chen C.L.P.;  Wang C.-H.;  Tam S.C.
Favorite | TC[Scopus]:3 | Submit date：2019/02/11
Learning Rate  Neural Network  New Optimal Learning Rate  Ratio k  Two-layer Nn