Results 171 to 180 of about 5,434,968 (247)
New robust stable MPC using linear matrix inequalities
, 2000 Magali Aparecida Rodrigues, Darci Odloak
openalex +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
International Journal of Computational Mathematics, 2018
This paper proposes an affine scaling interior trust-region method in association with nonmonotone line search filter technique for solving nonlinear optimization problems subject to linear inequality constraints.
Dan Li, D. Zhu
semanticscholar +1 more source
This paper proposes an affine scaling interior trust-region method in association with nonmonotone line search filter technique for solving nonlinear optimization problems subject to linear inequality constraints.
Dan Li, D. Zhu
semanticscholar +1 more source
IEEE Transactions on Industrial Informatics, 2019
Different from general linear inequality or equality, the problem of future different-level linear inequality and equality (FDLLIE) is investigated, which is much more interesting and challenging.
Yunong Zhang +4 more
semanticscholar +1 more source
Different from general linear inequality or equality, the problem of future different-level linear inequality and equality (FDLLIE) is investigated, which is much more interesting and challenging.
Yunong Zhang +4 more
semanticscholar +1 more source
Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
, 2008From the Publisher: A comprehensive treatment of model-based fuzzy control systems This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems.
Kazuo Tanaka, Hong Wang
semanticscholar +1 more source
A linear matrix inequality approach to H∞ control
, 1994The continuous- and discrete-time H∞ control problems are solved via elementary manipulations on linear matrix inequalities (LMI). Two interesting new features emerge through this approach: solvability conditions valid for both regular and singular ...
P. Gahinet, P. Apkarian
semanticscholar +1 more source
Zeroing Neural Network for Solving Time-Varying Linear Equation and Inequality Systems
IEEE Transactions on Neural Networks and Learning Systems, 2019A typical recurrent neural network called zeroing neural network (ZNN) was developed for time-varying problem-solving in a previous study. Many applications result in time-varying linear equation and inequality systems that should be solved in real time.
Feng Xu +4 more
semanticscholar +1 more source
Inertia Tensor Properties in Robot Dynamics Identification: A Linear Matrix Inequality Approach
IEEE/ASME transactions on mechatronics, 2019Physical feasibility of robot dynamics identification is currently receiving renovated attention from the research community. Inertia tensor inequalities (namely the positive definite property) have been extensively used among other physical constraints ...
Cristóvão D. Sousa, R. Cortesão
semanticscholar +1 more source
2013
Linear inequalities were studied with some degree of generality at least as early as the time of Fourier (1824). However the first significant contribution to their theory was made by Minkowski in his Geometrie der Zalzlen in 1896. Since that time many papers have appeared in Europe, America, and Japan which have to do more or less directly with the ...
Lloyd L. Dines, N. H. McCoy
openaire +2 more sources
Linear inequalities were studied with some degree of generality at least as early as the time of Fourier (1824). However the first significant contribution to their theory was made by Minkowski in his Geometrie der Zalzlen in 1896. Since that time many papers have appeared in Europe, America, and Japan which have to do more or less directly with the ...
Lloyd L. Dines, N. H. McCoy
openaire +2 more sources
Linear- and Linear-Matrix-Inequality-Constrained State Estimation for Nonlinear Systems
IEEE Transactions on Aerospace and Electronic Systems, 2019This paper considers nonlinear state estimation subject to inequality constraints in the form of linear and linear-matrix inequalities. Rewriting the standard maximum likelihood objective function used to derive the Kalman filter allows the Kalman gain ...
Robin Aucoin, S. A. Chee, J. Forbes
semanticscholar +1 more source
Linear Equations and Linear Inequalities
2002While Chapter 1 reviews general structural aspects of real vector spaces, we now discuss fundamental computational techniques for linear systems in this chapter. For convenience of the discussion, we generally assume that the coefficients of the linear systems are real numbers.
Walter Kern, Ulrich Faigle, Georg Still
openaire +2 more sources