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Linear Matrix Inequalities (LMI’s)

Search Directions in Infeasible Newton’s Method for Computing Weighted Analytic Center for Linear Matrix Inequalities

Search Directions in Infeasible Newton’s Method for Computing Weighted Analytic Center for Linear Matrix Inequalities

... Four search direction methods for Infeasible Newton’s method for computing weighted analytic center for linear matrix inequalities, namely: ZY, ZY+YZ, Z −1 and NT methods are presented and compared. ...

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Optimal Dosing of Breast Cancer Chemotherapy Using Robust MPC Based on Linear Matrix Inequalities

Optimal Dosing of Breast Cancer Chemotherapy Using Robust MPC Based on Linear Matrix Inequalities

... Abstract. In this paper, we consider an application of robust model predictive control to optimal dosing of breast cancer chemotherapy. The model-patient mismatch is handled by computing an ellipsoidal invariant set ...

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Multivariable Static Output Feedback Control of a Binary Distillation Column using Linear Matrix Inequalities and Genetic Algorithm

Multivariable Static Output Feedback Control of a Binary Distillation Column using Linear Matrix Inequalities and Genetic Algorithm

... Multivariable Static Output Feedback Control of a Binary Distillation Column using Linear Matrix Inequalities and Genetic Algorithm.. Kalpana R.[r] ...

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Beampattern Synthesis with Linear Matrix Inequalities Using Minimal Array Sensors

Beampattern Synthesis with Linear Matrix Inequalities Using Minimal Array Sensors

... Abstract—A new beampattern synthesis formulation is proposed to compute the minimum number of array sensors required. In order to satisfy all the prescribed specifications of the beampattern, the proposed method imposes ...

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On Delay-Range-Dependent and Delay-Rate-Dependent Stability for Delayed Systems

On Delay-Range-Dependent and Delay-Rate-Dependent Stability for Delayed Systems

... In this paper, a modified augmented LKF where more information about the delay includes is constructed. Some novel stability criteria are derived in terms of linear matrix inequalities (LMIs). At ...

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Finite time Stability of Uncertain Neutral type Neural Networks with Time varying Delay

Finite time Stability of Uncertain Neutral type Neural Networks with Time varying Delay

... the Linear Matrix Inequalities (LMIs) technique, we establish the sufficient conditions to guarantee that the neutral neural network with time-varying delay and norm-bounded uncertainties is ...

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New stability criteria for asymptotic stability of time delay systems via integral inequalities and Jensen inequalities

New stability criteria for asymptotic stability of time delay systems via integral inequalities and Jensen inequalities

... asymptotically stable. Thirdly, two classes of delay-dependent stability conditions in terms of linear matrix inequalities (LMIs) are derived, such that the control design conditions are relaxed and ...

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Matrix positivity preservers in fixed dimension

Matrix positivity preservers in fixed dimension

... tight linear matrix inequalities for Hadamard powers of positive semidefinite matrices, and a sharp asymptotic bound for the matrix cube problem involving Hadamard ...

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A New Approach to Stabilization of Continuous- Time T-S Fuzzy Control Systems via Fuzzy Lyapunov Function

A New Approach to Stabilization of Continuous- Time T-S Fuzzy Control Systems via Fuzzy Lyapunov Function

... Abstract -- This paper deals with the stabilization design problem for a class of continuous-time Takagi-Sugeno (T-S) fuzzy model-based control systems. A stabilization design based on fuzzy Lyapunov function and a ...

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Structured semidefinite programs and semialgebraic geometry methods in robustness and optimization

Structured semidefinite programs and semialgebraic geometry methods in robustness and optimization

... of linear and convex quadratic op- ...as Linear Matrix Inequalities (LMI) methods, are convex optimization problems, and correspond to the particular case of the convex set being the ...

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Algebra Syllabus

Algebra Syllabus

... In this course, scholars will develop fluency with linear, quadratic, and exponential functions in order to prepare for the IB Diploma Program math courses. Some of the overarching ideas in the Algebra 1 course ...

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Inequalities for ranks of matrix expressions involving generalized inverses

Inequalities for ranks of matrix expressions involving generalized inverses

... several inequalities for ranks of the matrix expressions D–ABXAB, where X is taken, respectively, as B () A () , B (,) A (,) , B (,) A (,) , B (,) A (,) , B (,,) A (,,) , B (,,) A ...

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An application of matrix inequalities to certain functional inequalities involving fractional powers

An application of matrix inequalities to certain functional inequalities involving fractional powers

... related matrix inequalities. A capital letter means a matrix whose entries are complex ...square matrix T is said to be pos- itive semidefinite (denoted by  ≤ T ) if  ≤ (Tx, x) for all ...

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Lyapunov type inequalities for a class of even order differential equations

Lyapunov type inequalities for a class of even order differential equations

... higher-order linear equations and the linear Hamiltonian ...nov-type inequalities and their applications can be found in the survey article by Cheng ...

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Norm Inequalities for Sequences of Operators Related to the Schwarz Inequality

Norm Inequalities for Sequences of Operators Related to the Schwarz Inequality

... Some norm inequalities for sequences of linear operators defined on Hilbert spaces that are related to the classical Schwarz inequality are given.. Applications for vector inequalities a[r] ...

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On the Connection between Kronecker and Hadamard Convolution Products of Matrices and Some Applications

On the Connection between Kronecker and Hadamard Convolution Products of Matrices and Some Applications

... convolution matrix operation. Further, we present some results which includes matrix equalities as well as inequalities related to these products and give attractive application to the ...

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Semi-Inner Products and the Numerical Radius of Bounded Linear Operators in Hilbert Spaces

Semi-Inner Products and the Numerical Radius of Bounded Linear Operators in Hilbert Spaces

... bounded linear operators defined on a Hilbert space H. Reverse inequalities that provide upper bounds for the nonnegative quantities kAk − w (A) and w (A) − hA, Ii p,n under various as- sumptions for the ...

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Some inequalities for the Hadamard product of an M matrix and an inverse M matrix

Some inequalities for the Hadamard product of an M matrix and an inverse M matrix

...  ≤ i ≤ n,  ≤ j ≤ n. If A ≥  (> ), we say that A is a nonnegative (positive) matrix. The spectral radius of A is denoted by ρ(A). Let A be an irreducible nonnegative matrix. It is well known that ...

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New inequalities for the Hadamard product of an M matrix and an inverse M matrix

New inequalities for the Hadamard product of an M matrix and an inverse M matrix

... Some new convergent sequences of the lower bounds of the minimum eigenvalue τ B ◦ A–1 for the Hadamard product of B and A–1 are given.. Numerical examples are given to show that these s[r] ...

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Linear and Riccati matrix equations

Linear and Riccati matrix equations

... In this paper we find exact solutions for linear ordinary differential equations of any order when they are given in matrix form, as well as for classes of Riccati matrix equations with [r] ...

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