Positive linear systems, traditionally investigated within the state-space framework, have been recently analyzed within the behavioral setting, by focusing the attention on the autonomous case. Also, the positive realization problem has been fully explored in the special case of autonomous behaviors. In this contribution, we focus our attention on controllable behaviors. We first address the g...

This paper proposes a method of identi cation for a discrete-time state-space model set presuming the existence of robust performance control. The model set is described by a nominal model and a parametric uncertainty bound measured with the Frobenius norm. The identi cation problem considered in this paper is to nd a model set which satis es conditions: (i) the model set is consistent with giv...

State-space models have been increasingly used to study macroeconomic and financial problems. A state-space representation consists of two equations, a measurement equation which links the observed variables to unobserved state variables and a transition equation describing the dynamics of the state variables. In this paper, we show that a classic linear-quadratic macroeconomic framework which ...

Kalman Filtering problems often have inherent and known constraints in the physical dynamics that are not exploited despite potentially significant gains (e.g., fixed speed of a motor). In this paper, we review existing methods and propose some new ideas for filtering in the presence of equality constraints. We then show that three methods for incorporating state space equality constraints are ...

The study of design and formation of urban space focuses on interaction of human and environment. This is an attractive subject that considers as interdisciplinary debates. Thinkers of urban studies pay attention to this matter empirically and theoretically in order to provide a desirable space for human being. This research is based on the theories of urban studies and urban sociology and so o...

We consider a class of queueing systems that consist of server pools in parallel and multiple customer classes. Customer service times are assumed to be exponentially distributed. We study the asymptotic behavior of these queueing systems in a heavy traffic regime that is known as the Halfin and Whitt many-server asymptotic regime. Our main contribution is a general framework for establishing s...

In this paper, we present an adaptation-guided similarity metric based on the estimate of the number of actions between states, called ADG (Action Distance-Guided). It is determined by using a heuristic calculation extracted from the heuristic search planning, called FF, which was the fastest planner in the AIPS’2000 competition. This heuristic provides an accurate estimate of the distance betw...

The paper deals with trajectory tracking of the differential drive robot with a mathematical model governing dynamics and kinematics. Motor dynamics and chassis dynamics are considered for deriving a linear state-space dynamic model. Basic nonlinear kinematic equations are linearized into a successively linearized state-space model. The dynamic and kinematic models are augmented to derive a sin...