Fuzzy control systems: Past, present and future
AT Nguyen, T Taniguchi, L Eciolaza… - IEEE Computational …, 2019 - ieeexplore.ieee.org
More than 40 years after fuzzy logic control appeared as an effective tool to deal with
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
complex processes, the research on fuzzy control systems has constantly evolved. Mamdani …
Fuzzy logic is not fuzzy: World-renowned computer scientist Lotfi A. Zadeh
Abstract In 1965 Lotfi A. Zadeh published" Fuzzy Sets", his pioneering and controversial
paper, that now reaches almost 100,000 citations. All Zadeh's papers were cited over …
paper, that now reaches almost 100,000 citations. All Zadeh's papers were cited over …
[图书][B] Fuzzy control
KM Passino, S Yurkovich, M Reinfrank - 1998 - a-lab.ee
Fuzzy control is a practical alternative for a variety of challenging control applications since it
provides a convenient method for constructing nonlinear controllers via the use of heuristic …
provides a convenient method for constructing nonlinear controllers via the use of heuristic …
Neuro-fuzzy modeling and control
Fundamental and advanced developments in neuro-fuzzy synergisms for modeling and
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
control are reviewed. The essential part of neuro-fuzzy synergisms comes from a common …
A survey on analysis and design of model-based fuzzy control systems
G Feng - IEEE Transactions on Fuzzy systems, 2006 - ieeexplore.ieee.org
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 …
approach. However, it unfortunately suffers from criticism of lacking of systematic stability …
[图书][B] Modern heuristic optimization techniques: theory and applications to power systems
KY Lee, MA El-Sharkawi - 2008 - books.google.com
This book explores how developing solutions with heuristic tools offers two major
advantages: shortened development time and more robust systems. It begins with an …
advantages: shortened development time and more robust systems. It begins with an …
[图书][B] Analysis and synthesis of fuzzy control systems: a model-based approach
G Feng - 2018 - books.google.com
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 …
systems in industry, and is often used with great success as an alternative to conventional …
Soft computing: the convergence of emerging reasoning technologies
PP Bonissone - Soft computing, 1997 - Springer
Abstract The term Soft Computing (SC) represents the combination of emerging problem-
solving technologies such as Fuzzy Logic (FL), Probabilistic Reasoning (PR), Neural …
solving technologies such as Fuzzy Logic (FL), Probabilistic Reasoning (PR), Neural …
New directions in fuzzy automata
M Doostfatemeh, SC Kremer - International Journal of Approximate …, 2005 - Elsevier
Automata are the prime example of general computational systems over discrete spaces.
The incorporation of fuzzy logic into automata theory resulted in fuzzy auotomata which can …
The incorporation of fuzzy logic into automata theory resulted in fuzzy auotomata which can …
Evolutionary algorithms+ domain knowledge= real-world evolutionary computation
PP Bonissone, R Subbu, N Eklund… - IEEE Transactions on …, 2006 - ieeexplore.ieee.org
We discuss implicit and explicit knowledge representation mechanisms for evolutionary
algorithms (EAs). We also describe offline and online metaheuristics as examples of explicit …
algorithms (EAs). We also describe offline and online metaheuristics as examples of explicit …