linear matrix inequality method
Mean Square Consensus Seeking over Multi Interconnection Dynamical Networks with Markovian Switching Topologies
... the linear matrix inequality method and the partial stability theory, sufficient conditions of the exponentially mean-square consensus are obtained for the nonlinear complex dynamical network ...
7
Image Noise Cancellation Using Linear Matrix Inequality and Cellular Neural Network
... In this paper, a solution to the templates design of CNN for noise cancellation is proposed. It is shown that the design problem can be transformed into LMIs, and then it is straightforward to obtain the solution by the ...
5
Consensus via Adaptive Gain Controllers Considering Relative Distances for Multi-Agent Systems
... From the above, this paper deals with a consensus problem for MASs with leader-follower structures. In this paper, we present a design method of an adaptive gain controller giving considering relative distances ...
13
Model Reduction-Based Control of the Buck Converter Using Linear Matrix Inequality and Neural Networks
... system matrix [A]. After the transformed system matrix was obtained, the LMI optimization technique was used to determine the permutation matrix [P], which is required to obtain {[ B ~ ],[ C ~ ],[ E ...
11
ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... This paper addresses the problem of designing state feedback robust model predictive controller with input constraints for a class of time-delay singular systems with polytopic uncertainty. The existing sufficient ...
5
Recurrent Supervised Neural Computation and LMI Model Transformation for Order Reduction-Based Control of Linear Time-Independent Closed Quantum Computing Systems
... new method of intelligent control for closed quantum computation time-independent ...new method uses recurrent supervised neural network to identify certain parameters of the transformed system ...
13
H∞ Preview Control of a Class of Uncertain Discrete Time Systems
... time-varying matrix, by taking advantage of the difference between the system state variables, input variables, and the corresponding auxiliary variables, instead of the usual difference between system states, an ...
37
An Interval Matrix Based Generalized Newton Method for Linear Complementarity Problems
... the linear complementarity problem ...that matrix A was symmetric positive ...the linear complementarity problem arising from pricing American ...the linear complementarity problem with ...
7
Linear Matrix Inequality Based Supplementary Controller for TCSC
... Finally three LMIs are obtained. Now these LMIs can be solved by using any of the optimization method. In MATLAB different solvers are available to solve these LMIs. Here half plane is shifted by α = 1and inner ...
5
Delay-Dependent Robust Asymptotically Stable for Linear Time Variant Systems
... uncertain linear time-variant system with multiple delays is ...Lyapunov method, linear matrix inequality (LMI), parameterized first-order model transformation technique and ...
6
On the Lupas-Beesack-Pecaric Inequality for Isotonic Linear Functionals
... Using Theorem 1 and Theorem 2, we may state the following generalisation of the Hermite-Hadamard inequality for isotonic linear functionals ([4] and [5]). Theorem 3. Let φ : [a, b] ⊂ R → R be a convex ...
11
On the preconditioned GAOR method for a linear complementarity problem with an M matrix
... GAOR method was proposed for solving the linear complementarity problem (Liu and Li in East Asian ...GAOR method for solving the linear complementarity problem with an ...proposed ...
12
Quaternion-based H∞ attitude tracking control of rigid bodies with time-varying delay in attitude measurements
... quaternion-based linear state feedback controller and a feedforward term to compensate the nonlinearities of the system dynamics, simulation results illustrate that the control law is able to effectively track ...
7
The efficiency comparisons between OLSE and BLUE in a singular linear model
... The above formula and its lower bound both require the covariance matrix to be pos- itive definite and the design matrix to have full column rank. This assumption limits clearly the number of characters ...
8
On the Deepest Fallacy in the History of Mathematics: The Denial of the Postulate about the Approximation Nature of a Simple Iteration Method and Iterative Derivation of Cramer’s Formulas
... system matrix to the form, in which all eigenvalues are equal to ...triangular matrix with a unit diagonal (or unitriangular) is split into an identity matrix and strictly triangular matrix, ...
12
H ∞ Output feedback sliding mode control for a class of uncertain systems with time delay
... This paper presents the problem of H ∞ static output feedback sliding mode control for a class of nonlinear delay systems with norm-bounded uncertainties and external disturbance. Based on Linear matrix ...
8
Bernoulli operational matrix method for system of linear Volterra integral equations
... operational matrix on the system of linear Volterra integral equations and convert them to a linear algebraic system of ...proposed method in analogy to some existed ...
7
Stabilization Criteria for Bilinear Systems with Time varying Delay
... Table 1. Note that the results of [2, 4, 5, 7, 9, 10] fail to deal with this system since the matrix describing the relationship between the slow and fast variables cannot be determined beforehand. For this case, ...
7
Stability of a Class of Neutral Time Delay Systems with a Robust Control
... The paper of Xin and al. [17] deals with the delay-dependent stability criterion and the state observers design problem as well as observer-based stabilization problem for linear neutral delay systems. A ...
6
Matrix method for solving linear complex vector functional equations
... Suppose that (3.6) has a solution F and that C satisfies ACA + A = O. Then (AC + I)G = (AC + I)AF = (ACA + A)F = ᏻ , (3.8) that is, (3.2) must be satisfied. Conversely, let (3.2) hold for some cyclic matrix C. Then ...
22