SYSTEMS OF LINEAR DIFFERENTIAL EQUATIONS CALCULATOR

This book is intended to provide the engineer with technical information on subsynchronous resonance (SSR), and to show how the computation of eigenvalues for the study of SSR in an interconnected power system can be accomplished. It is primarily a book on mathematical modeling.[r]

We consider a class of stochastic functional differential equations with distributed delays
whose coefficients are superlinear growth and H¨older continuous with respect to the delay components.
We introduce an EulerMaruyama approximation scheme for these equations and study
their strong rate of con[r]

Lecture Physical modeling in MATLAB has contents: Variables and values, scripts, loops, vectors, functions, zerofinding, functions of vectors, ordinary differential equations, systems of ODEs, secondorder systems, optimization and interpolation,...and other contents.

This book is the result of a sequence of two courses given in the School of Appliedand Engineering Physics at Cornell University. The intent of these courses has beento cover a number of intermediate and advanced topics in applied mathematics thatare needed by scie[r]

Mathematics 381MathematicsEach year, the list of careers demanding familiaritywith basic mathematical skills grows. Environmentalsciences, architecture, business management, nursing,dentistry, computer programming, electronics, forestrymanagement, psychology and photography representonly a sm[r]

We study the strong rate of convergence of the tamed EulerMaruyama
approximation for onedimensional stochastic differential equations
with superlinearly growing drift and H¨older continuous diffusion coef
ficients.

computer science students only. It covered the basics of numerical calculus, systems of linearequations, various interpolation methods, function approximation, and the solution of nonlinearequations.In summer 1998 a chapter about Statistics was added, because of th[r]

is textbook is ideal for an undergraduate course in Engineering System Dynamics and Controls. It is intended to provide the reader with a thorough understanding of the process of creating mathematical (and computerbased) models of physical systems. The material is restricted to lumped parameter mode[r]

Ổn định kích thích nhỏ và ứng dụng trên Phần mềm PSSE.NỘI DUNG CHÍNH PHẦN 21 (small signal stability and application of small signal stability): 1. Transient Stability: a. Time Domain Analysis. b. Step wise Integration of Differential Equations. 2. SmallSignal Stability. a. Frequency Domain An[r]

We find upper bounds for the rate of convergence when the EulerMaruyama approximation
is used in order to compute the expectation of nonsmooth functionals of some stochastic
differential equations whose diffusion coefficient is constant, whereas the drift coefficient may
be very irregular. As a bypr[r]

equations, it is not true that any solution willdo; only one particular solution also satisfiessome given initial conditions.D. Thus, in addition to the differential equation,specific numbers, a and e, might be given,such that the differential problemy' = J(x),with y = e when x[r]

We establish formulas for computingestimating the Fr´echet and Mordukhovich
coderivatives of implicit multifunctions defined by generalized equations in Asplund spaces.
These formulas are applied to obtain conditions for solution stability of parametric variational
systems over perturbed smoothbound[r]

This paper deals with the finitetime stability and H∞ control of linear discretetime
delay systems. The system under consideration is subject to interval timevarying
delay and normbounded disturbances. Linear matrix inequality approach is used to
solve the finitetime stability problem. First, new su[r]

NỘI DUNG GỒM 9 CHƯƠNG:Chapter 1. Mathematical Background and State of the Art. Chapter 2. Static State Estimation. Chapter 3. Load Modeling for ShortTerm Forecasting. Chapter 4. Fuzzy Regression Systems and Fuzzy Linear Models. Chapter 5. Dynamic State Estimation. Chapter 6. Load[r]

Abstract. This paper studies both nonautonomous stochastic differential
equations and stochastic differential delay equations with Markovian
switching. A new result on almost sure stability of stochastic
differential equations is given. Moreover, we provide new conditions for
tightness and almost su[r]

The main objective of the present note is to study positive solutions of the
following interesting system of integral equations in Rn



u(x) = Z
Rn
|x − y|
p
v(y)
−q
dy,
v(x) = Z
Rn
|x − y|
pu(y)
−q
dy,
(0.1)
with p, q > 0 and n > 1. Under the nonnegative Lebesgue measurability condition for[r]

Abstract—This paper discusses analysis and synthesis techniques
for robust pole placement in linear matrix inequality
(LMI) regions, a class of convex regions of the complex plane that
embraces most practically useful stability regions. The focus is on
linear systems with static uncertainty on the s[r]

In this paper we shall deal with the problem of calculation of the controllability
radii of linear neutral systems of the form x
0
(t) = A0x(t) + A1x(t − h) +
A−1x
0
(t − h) + Bu(t). We will derive the definition of exact controllability radius,
approximate controllability radius and Euclidean contr[r]

We shall deal with some problems concerning the stability domains, the
spectrum of matrix pairs, the exponential stability and its robustness measure
for linear implicit dynamic equations of arbitrary index. First, some characterizations
of the stability domains corresponding to a convergent sequenc[r]

This paper deals with the problem of global exponential stabilization for a
class of nonautonomous cellular neural networks with timevarying delays. The system
under consideration is subject to timevarying coefficients and timevaying delays. Two
cases of timevarying delays are considered: (i) the de[r]