Linear model predictive control (MPC) assumes a linear system model, that the constraints sets are representable via linear inequalities and that the objective function is convex quadratic. Linear MPC is appealing because the associated optimisation problem typically solved at each time interval may be expressed as a convex quadratic program, which can be solved efficiently online. Topics not c...

Two seemingly independent streams of control systems research have examined logarithmic sensitivity integrals and limiting linear quadratic optimal control problems. These apparently diverse problems yield some results with an identical right hand side. The main contribution of this paper is to directly explain the commonality between these streams. This explanation involves the use of Parseval...

a pedigree file consisting of 5860 individuals, 167 sires and 1582 dams collected at makooei sheep breeding station (msbs) during a period of 24 years (1990 to 2013) was used to calculate the inbreeding coefficients to reveal any probable effects of inbreeding (f) on the studied traits. the studied traits were classified to the five main groups including body weight, kleiber ratio, body measure...

The paper is devoted to analyze the connection between turnpike phenomena and strict dissipativity properties for continuous-time finite dimensional linear quadratic optimal control problems. We characterize of dynamics in terms system matrices related problem. These characterizations then lead new necessary conditions under consideration, thus eventually sufficient...

We consider a simple class of stochastic control problems with delayed control, in both the drift and diffusion part state differential equation. provide new characterization solution terms set Riccati partial equations. Existence uniqueness are obtained under sufficient condition expressed directly as relation between time horizon, drift, volatility delay. Furthermore, deep learning scheme (Th...