The scientist’s investigation covers issues in Control theory, Fuzzy logic, Fuzzy control system, Linear matrix inequality and Stability. His Control theory research incorporates themes from Control, Bounded function and Mathematical optimization. His Fuzzy logic study integrates concerns from other disciplines, such as Change detection and Hierarchical database model.
Reinaldo M. Palhares combines subjects such as Lyapunov function, Nonlinear system and Piecewise with his study of Fuzzy control system. As part of one scientific family, he deals mainly with the area of Linear matrix inequality, narrowing it down to issues related to the Control, and often State vector, Delay dependent and H control. The study incorporates disciplines such as Control system, Degrees of freedom, Lyapunov redesign, Discretization and Stability conditions in addition to Stability.
Reinaldo M. Palhares focuses on Control theory, Fuzzy logic, Linear matrix inequality, Mathematical optimization and Nonlinear system. His study in Control theory focuses on Lyapunov function, Linear system, Control theory, Fuzzy control system and Robust control. His research in Fuzzy control system tackles topics such as Stability which are related to areas like Stability conditions.
His research in Fuzzy logic intersects with topics in Change detection and Data mining. His Linear matrix inequality study combines topics from a wide range of disciplines, such as Control, Artificial neural network, Discrete time and continuous time, Applied mathematics and Discretization. His study looks at the intersection of Mathematical optimization and topics like Fuzzy classification with Membership function.
His scientific interests lie mostly in Control theory, Nonlinear system, Fuzzy logic, Lyapunov function and Control theory. His Control theory study combines topics in areas such as Control, State and Control. His Nonlinear system research includes elements of Fault tolerance, Linear matrix inequality, Control reconfiguration and Fuzzy control system.
His study in the field of Fuzzy model also crosses realms of Data stream. His Lyapunov function study which covers Monotonic function that intersects with Feature. The Control theory study combines topics in areas such as Optimization problem and Bounded function.
Reinaldo M. Palhares mostly deals with Control theory, Lyapunov function, Fuzzy logic, Nonlinear system and Control. His Lyapunov function research is multidisciplinary, incorporating perspectives in State, Discrete time and continuous time, Control theory and Takagi sugeno. His work on Fuzzy control system as part of general Fuzzy logic research is often related to Data modeling, thus linking different fields of science.
The concepts of his Fuzzy control system study are interwoven with issues in Dynamical system and Algorithm, State. His work on Lyapunov stability as part of general Nonlinear system research is frequently linked to Block, thereby connecting diverse disciplines of science. His biological study spans a wide range of topics, including Linear matrix inequality, Fuzzy model and Piecewise.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
A systematic approach to improve multiple Lyapunov function stability and stabilization conditions for fuzzy systems
Leonardo A. Mozelli;Reinaldo M. Palhares;Gustavo S. C. Avellar.
Information Sciences (2009)
Technical communique: Reducing conservativeness in recent stability conditions of TS fuzzy systems
L. A. Mozelli;R. M. Palhares;F. O. Souza;E. M. A. M. Mendes.
A flexible consensus scheme for multicriteria group decision making under linguistic assessments
R.O. Parreiras;P.Ya. Ekel;J.S.C. Martini;R.M. Palhares.
Information Sciences (2010)
Brief Robust filtering with guaranteed energy-to-peak performance - an LMI approach
Reinaldo M. Palhares;Pedro L. D. Peres.
web science (2000)
LMI approach to the mixed H/sub 2//H/sub /spl infin// filtering design for discrete-time uncertain systems
R.M. Palhares;P.L.D. Peres.
IEEE Transactions on Aerospace and Electronic Systems (2001)
ℋ∞and ℋ2 guaranteed costs computation for uncertain linear systems
R. M. Palhares;R. H. C. Taicahashi;P. L. D. Peres.
International Journal of Systems Science (1997)
Design of an Artificial Immune System for fault detection: A Negative Selection Approach
C. A. Laurentys;G. Ronacher;R. M. Palhares;W. M. Caminhas.
Expert Systems With Applications (2010)
New Stability Conditions Based on Piecewise Fuzzy Lyapunov Functions and Tensor Product Transformations
Victor C. S. Campos;Fernando O. Souza;Leonardo A. B. Torres;Reinaldo M. Palhares.
IEEE Transactions on Fuzzy Systems (2013)
Fuzzy Control Systems: Past, Present and Future
Anh-Tu Nguyen;Tadanari Taniguchi;Luka Eciolaza;Victor Campos.
IEEE Computational Intelligence Magazine (2019)
Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems
Daniel Leite;Reinaldo M. Palhares;Victor C. S. Campos;Fernando Gomide.
IEEE Transactions on Fuzzy Systems (2015)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: