AbstractWe consider the problem of the identification of the time-varying matrix A(t) of a linear m-dimensional differential system y′ = A(t)y. We develop an approximation An,k = ∑nj − 1 cj{Y(tk + τj) Y−1(tk) − I} to A(tk) for grid points tk = a + kh, k = 0,…, N using specified τj = θjh, 0 < θj < 1, j = 1, …, n, and show that for each tk, the L1 norm of the error matrix is O(hn). We demonstrate an efficient scheme for the evaluation of An,k and treat sample problems
Inference in mechanistic models of non-linear differential equations is a challenging problem in cur...
This communication is concerned with cancellations, controllability and observability of linear time...
AbstractThe problem of building a linear stationary model for a process given by evenly spaced discr...
AbstractWe consider the problem of the identification of the time-varying matrix A(t) of a linear m-...
AbstractFor a linear differential system y′ = Ay with unknown matrix A, we approximate A by a partic...
We develop a behavioural approach to linear, time-varying, differential algebraic systems. The analy...
AbstractWe discuss matrix finite difference and ordinary differential equations in terms of their dy...
In many applications obtaining ordinary differential equation descriptions of dynamic processes is s...
We develop a behavioral approach to linear, time-varying, differential-algebraic systems. The analysi...
AbstractIn the solution of a linear system of equations, the initial errors in the coefficients (e.g...
A real time computational method is presented for the identification of linear discrete dynamic syst...
This paper considers the stability of both continuous and discrete time-varying linear systems. Stab...
The problem of system identification for the Kalman filter, relying on the expectation-maximization ...
Stability of linear nonautonomous systems described by differential equations with time varying coef...
Many processes in biology, chemistry, physics, medicine, and engineering are modeled by a system of ...
Inference in mechanistic models of non-linear differential equations is a challenging problem in cur...
This communication is concerned with cancellations, controllability and observability of linear time...
AbstractThe problem of building a linear stationary model for a process given by evenly spaced discr...
AbstractWe consider the problem of the identification of the time-varying matrix A(t) of a linear m-...
AbstractFor a linear differential system y′ = Ay with unknown matrix A, we approximate A by a partic...
We develop a behavioural approach to linear, time-varying, differential algebraic systems. The analy...
AbstractWe discuss matrix finite difference and ordinary differential equations in terms of their dy...
In many applications obtaining ordinary differential equation descriptions of dynamic processes is s...
We develop a behavioral approach to linear, time-varying, differential-algebraic systems. The analysi...
AbstractIn the solution of a linear system of equations, the initial errors in the coefficients (e.g...
A real time computational method is presented for the identification of linear discrete dynamic syst...
This paper considers the stability of both continuous and discrete time-varying linear systems. Stab...
The problem of system identification for the Kalman filter, relying on the expectation-maximization ...
Stability of linear nonautonomous systems described by differential equations with time varying coef...
Many processes in biology, chemistry, physics, medicine, and engineering are modeled by a system of ...
Inference in mechanistic models of non-linear differential equations is a challenging problem in cur...
This communication is concerned with cancellations, controllability and observability of linear time...
AbstractThe problem of building a linear stationary model for a process given by evenly spaced discr...