Robust Adaptive Control of Unknown Modified Cohen-Grossberg Neural Networks With Delays

In this brief, robust adaptive control of unknown modified Cohen–Grossberg neural networks with time delays is considered based on nonsmooth analysis and matrix inequality technique. Several new controllers are designed to ensure the global asymptotical stability of the targeted equilibrium point. The designed controllers are independent of the bounds of the perturbations, system functions and the time delays. One does not need to know the bounds of the unknown parameters, but only needs to know the structures of the modified Cohen–Grossberg neural networks with time delays. Finally, some simulations examples are given to verify the theoretical results.