与姚焱刚博士合作的、题为 “Unified Fuzzy Control of High-Order Nonlinear Systems With Multitype State Constraints” 的论文已被《IEEE Transactions on Cybernetics》接受发表。该论文摘要如下：
This article presents a unified adaptive fuzzy control approach for high-order nonlinear systems (HONSs) with multitype state constraints. Existing methods always require that the upper and lower constraint boundaries are strictly positive and negative functions (or constants) respectively, which is often inconsistent with the actual constraints. In this article, “multitype state constraints” means that the upper and lower constraint boundaries include multiple types, such as both being strictly positive (or negative), sometime be positive or negative and so on (cases ̈-±). By designing a unified mapping function (UMF), the multi-type state constraints are processed under removal the feasibility conditions (FCs). Furthermore, a technical design makes the proposed method also suitable for unconstrained HONSs. By means of fuzzy logic system (FLS) and fixed-time stability theory (FTST), the proposed algorithm can ensure that the tracking error converges to a zero-centered neighborhood within a fixed time. In addition, the adaptive event-triggered control (AETC) technique which can adjust trigger threshold automatically according to tracking error is introduced to save network resources. Simulation results demonstrate the scheme developed.