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Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
Inspired by the study of air quality level data, we propose a new model for the normalcy-dominant ordinal time series. The proposed model is based on a new zero-one-inflated bounded Poisson distributi...
Detection of moving objects in video sequence received from moving video sensor is a one of the most important problem in computer vision. The main purpose of this work is developing set of algorithms...
This paper describes how to efficiently solve a robust optimal control problem using recently developed primal-dual interior-point methods. Among potential applications are model predictive control. T...
In this paper we give a direct derivation of the solution to the continuous time finite horizon H-infinity synthesis problem. An explicit separation of the time domain cost function into past and futu...
In this paper we construct suboptimal H-infinity controllers which satisfy a new robust performance condition, using the receding horizon technique. A method is described for the synthesis of H-infini...
In this paper new techniques are developed for the analysis of linear time varying (LTV) systems. These lead to a formally simple treatment of problems for LTV systems, allowing methods more usually r...
New techniques are presented for the model reduction of linear time-varying and linear periodically-varying systems, including the formulation and proof of guaranteed upper bounds for the error. The c...
Error-bounds are developed for balanced truncation of linear time-varying systems, leading to an extension of the `twice the sum of the tail' formulae, well-known in the time-invariant case. The appro...
In this paper new techniques are developed for the analysis of linear time varying (LTV) systems. These lead to a formally simple treatment of robust control problems for LTV systems, allowing methods...
We present an algorithmic methodology for constructing Lyapunov-Krasovskii (L-K) functionals for linear time-delay systems, using the sum of squares decomposition of multivariate polynomials to solve ...
This paper considers linear time-invariant dynamic systems with an interconnection structure specified by a directed graph. We formulate a semidefinite program for system analysis and controller synth...
We consider a sensor network where each sensor takes multiple measurements of some unknown parameters, corrupted by independent Gaussian noises. The number of measurements at each node can be nite or ...
Traditional structural feedback control systems are centralized systems, whose applications to large scale structures encounter a number of practical difficulties in terms of system reliability, cost,...
We present a methodology for analyzing robust independent-of-delay and delay-dependent stability of equilibria of systems described by nonlinear Delay Differential Equations by algorithmically constru...

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