Fuzzy logic control was originally introduced and developed as a model free control design
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …

This book categorizes the wide area of data-driven model-free controllers, reveals the exact
benefits of such controllers, gives the in-depth theory and mathematical proofs behind them …

Fuzzy logic control (FLC) has proven to be a popular control methodology for many complex
systems in industry, and is often used with great success as an alternative to conventional …

This paper proposes an adaptive fuzzy sliding mode control (AFSMC) to synchronize two
different uncertain fractional-order time-delay chaotic systems, which are infinite …

In 2015, we celebrate the 50th anniversary of Fuzzy Sets, ten years after the main
milestones regarding its applications in fuzzy control in their 40th birthday were reviewed in …

In this paper, the problem of fuzzy predictive control of nonlinear networked control systems
subject to parameter uncertainties and defective communication links is studied. Stochastic …

Foundations of Fuzzy Control: A Practical Approach, 2nd Edition has been significantly
revised and updated, with two new chapters on Gain Scheduling Control and Neurofuzzy …

Global exponential stability of fuzzy control systems with delays is studied. These delays in
the fuzzy control systems are assumed to be any uncertain bounded continuous functions …

This article investigatesthe optimization nonparallel distribution compensation (non-PDC)
control issue for nonlinear systems under Takagi–Sugeno (T–S) fuzzy framework. First …

A new hybrid direct/indirect adaptive fuzzy neural network (FNN) controller with a state
observer and supervisory controller for a class of uncertain nonlinear dynamic systems is …