《高等代数》、《线性代数》及研究生《非线性系统分析》

主要参与过三项国家自然科学基金项目;
          

[1] Finite-time synchronization of drive-response systems via periodically intermittent adaptive control; Journal of the Franklin Institute， (2014) 351：2691–2710

[2] Exponential p-Synchronization of Non-autonomous Cohen–Grossberg Neural Networks with Reaction-Diffusion Terms via Periodically Intermittent Control，Neural Process Letters (2014) 40:103–126

[3] Finite-time synchronization control of a class of memristor-based recurrent neural networks, Neural Networks, (2015) 63 :133-140

[4] New results on exponential synchronization of memristor-based chaotic neural networks, Neurocomputing, (2015) 156 :60-67

[5] Globally exponential stability and dissipativity for nonautonomous neural networks with mixed time-varying delays, Neurocomputing 2016,205:421-429

[6] Finite-time synchronization of inertial memristive neural networks with time-varying delays via sampled-date control， Neurocomputing 266 (2017) 527–539

[7] Stability analysis of memristor-based time-delay fractional-order neural networks， Neurocomputing 323 (2019) 117–127

[8] Dissipativity Analysis of Memristor-Based Fractional-Order Hybrid BAM Neural Networks with Time Delays, International Journal of Nonlinear Sciences and Numerical Simulation, 2019; 20(7-8): 773–785

[9] Quasi fixed-time synchronization of memristive Cohen-Grossberg neuralnetworks with reaction-diffusion，Neurocomputing 415 (2020) 74–83；

[10] Synchronization with general decay rate for memristor-based BAM neural networks with distributed delays and discontinuous activation functions，Neurocomputing 387 (2020) 221–240.

[11] New finite-time synchronization of memristive Cohen–Grossberg neural network with reaction–diffusion term based on time-varying delay,Neural Computing and Applications (2021) 33:4315–4328;

[12] Global dissipativity and finite-time synchronization of mixed time-varying delayed memristor-based neural networks with discontinuous activations, Journal of Intelligent & Fuzzy Systems, 40 (2021) 1695–1712