… ticular, smooth nonlinear systems with lower triangular form, as a typical … fuzzy state feedback
and observer-based output feedback control design schemes are proposed in the unified …

… common conservatism of conventional BLF-based control is that … A novel adaptive fuzzy
backstepping controller is structured … constraints and time-varying delays in a unified framework. …

… , adaptive approximation-based control designs, using neural … unified framework for
identification and adaptive control of … of fuzzy sets, fuzzy inference system, and typical fuzzy …

… high-dimensional optimization of traditional ADP algorithms and … unknown functions based
on the fuzzy and neural approximations. … control directions in a unified approach,” IEEE Trans. …

… neural network (NN) approximation sets, despite the presence of unknown system nonlinearities.
In contrast to the conventional adaptive NN control … of NN approximation at each step, …

… This paper presents a unified study on adaptive control of multi-input … approximation-based
control problem with neural network based results as the main case, and with TS fuzzy based …

… So, conventional methods suffer some limitation in terms of … are compelling reasons to
view them in a unified fashion. … -time systems based on a multi-input fuzzy rules emulated …

… Recently, approximation-based control strategies like fuzzy logic and neural networks [18],
[19]… From the results and Table 4, we can see clearly that the conventional adaptive approach …

… Distinguished from the traditional neural networks, our ENNs … In this paper, a novel unified
approach is proposed to reduce … While, the approximation accuracy of the ENNs in this paper …

… a unified mathematical framework. And more important, T–S … conventional fuzzy control can
be adaptive, fuzzy PID control … approximation errors between the approximating fuzzy models …