What is he best known for?
The fields of study he is best known for:
- Control theory
- Artificial intelligence
- Mathematical analysis
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.
His most cited work include:
- A systematic approach to improve multiple Lyapunov function stability and stabilization conditions for fuzzy systems (244 citations)
- Technical communique: Reducing conservativeness in recent stability conditions of TS fuzzy systems (219 citations)
- A flexible consensus scheme for multicriteria group decision making under linguistic assessments (176 citations)
What are the main themes of his work throughout his whole career to date?
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.
He most often published in these fields:
- Control theory (64.33%)
- Fuzzy logic (28.07%)
- Linear matrix inequality (21.05%)
What were the highlights of his more recent work (between 2018-2021)?
- Control theory (64.33%)
- Nonlinear system (18.71%)
- Fuzzy logic (28.07%)
In recent papers he was focusing on the following fields of study:
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.
Between 2018 and 2021, his most popular works were:
- Fuzzy Control Systems: Past, Present and Future (56 citations)
- A Novel Fault-Prognostic Approach Based on Interacting Multiple Model Filters and Fuzzy Systems (17 citations)
- TS fuzzy reconfiguration blocks for fault tolerant control of nonlinear systems (13 citations)
In his most recent research, the most cited papers focused on:
- Control theory
- Artificial intelligence
- Mathematical analysis
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.
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