Results 221 to 230 of about 296,760 (265)
Some of the next articles are maybe not open access.
Sensitivity controller for uncertain systems
Journal of Guidance, Control, and Dynamics, 1988In this paper a new controller design, which we Shall call the "trajectory sensitivity optimization" method, is presented to improve the robustness for parameter variations. The method uses the sensitivity trajectory to model the parameter uncertainty and introduces a special quadratic cost function involving an input and output sensitivity term ...
KENJI OKADA, ROBERT SKELTON
openaire +1 more source
Uncertain Variables as a Tool for Design of Uncertain Control Systems
Proceedings of the 44th IEEE Conference on Decision and Control, 2006The paper is concerned with closed-loop control systems with unknown parameters which are assumed to be values of uncertain variables described by certainty distributions given by an expert. The non-parametric optimization problem and three versions of the parametric optimization problem based on the uncertain variables are described.
openaire +1 more source
Robust filtering for uncertain systems
Signal Processing, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Philippe Neveux, Gérard Thomas
openaire +2 more sources
Stabilization of a Class of Uncertain Systems
Vestnik St. Petersburg University, Mathematics, 2018zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +2 more sources
Intelligent Controllers for Uncertain Systems
2018 14th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2018Often, the real world variables are characterized with vagueness (represented by fuzzy set theory), associated hesitancy of the agent (represented by intuitionistic fuzzy set theory), and randomness (represented by probability) at the same time. Intuitionistic fuzzy set theory extends the fuzzy set theory to take account of hesitancy of the observer in
Manish Aggarwal, Madasu Hanmandlu
openaire +1 more source
Fuzzy Relational Control of an Uncertain System
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2014The paper considers the usefulness of a control strategy based on a fuzzy relational model of the controller to counteract uncertainties caused by measurement noise and unmeasured disturbances. The fuzzy relational model is identified using a combination of feedback error learning and fuzzy identification.
Muhammad Bilal Kadri, Arthur Dexter
openaire +1 more source
Robust Control of Uncertain Resonant Systems
European Journal of Control, 1995zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Oren Kidron, Oded Yaniv
openaire +2 more sources
Stability of Feedback Systems with Uncertain Dynamics
IFAC Proceedings Volumes, 1992Abstract The application of functional analytic methods to the stability of feedback control systems with nonlinear, imprecise or unknown models is discussed. A method is proposed to find the appropiate center and radius parameters of the Conicity Stability Criterion.
A. Barreiro, J. Aracil
openaire +1 more source
Minimax Controls for Uncertain Parabolic Systems
SIAM Journal on Control and Optimization, 2000zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Nadir Arada +2 more
openaire +3 more sources
ON LIU'S INFERENCE RULE FOR UNCERTAIN SYSTEMS
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2010Liu's inference is a process of deriving consequences from uncertain knowledge or evidence via the tool of conditional uncertainty. Using membership functions, this paper derives some expressions of Liu's inference rule for uncertain systems. This paper also discusses Liu's inference rule with multiple antecedents and with multiple if-then rules.
Xin Gao, Yuan Gao, Dan A. Ralescu
openaire +1 more source