Minimax state estimation for linear stochastic systems with an uncertain parameter
Minimizing energy use for a road expansion in a transportation system using optimal control theory.
Minimum energy control of fractional descriptor positive discrete-time linear systems
Minimum energy control of fractional positive continuous-time linear systems with bounded inputs
A minimum energy control problem for fractional positive continuous-time linear systems with bounded inputs is formulated and solved. Sufficient conditions for the existence of a solution to the problem are established. A procedure for solving the problem is proposed and illustrated with a numerical example.
Minimum energy control of positive continuous-time linear systems with bounded inputs
The minimum energy control problem for positive continuous-time linear systems with bounded inputs is formulated and solved. Sufficient conditions for the existence of a solution to the problem are established. A procedure for solving the problem is proposed and illustrated with a numerical example.
Minimum output variance control for FSN models: Continuous-time case.
Minimum penalty estimate
Minimum principle and controllability for multiparameter discrete inclusions via derived cones.
Minimum variance control of discrete-time and continuous-time LTI MIMO systems - a new unified framework
Mining online auction social networks for reputation and recommendation
Miss analysis in Lambert interceptions with application to a new guidance law.
Mixed control of flexible structures.
Mixed type semicontinuous differential inclusions in Banach spaces
We consider a class of differential inclusions in (nonseparable) Banach spaces satisfying mixed type semicontinuity hypotheses and prove the existence of solutions for a problem with state constraints. The cases of dissipative type conditions and with time lag are also studied. These results are then applied to control systems.
Mobile robot localization under stochastic communication protocol
In this paper, the mobile robot localization problem is investigated under the stochastic communication protocol (SCP). In the mobile robot localization system, the measurement data including the distance and the azimuth are received by multiple sensors equipped on the robot. In order to relieve the network burden caused by network congestion, the SCP is introduced to schedule the transmission of the measurement data received by multiple sensors. The aim of this paper is to find a solution to the...
Mobile sensor routing for parameter estimation of distributed systems using the parallel tunneling method
The paper deals with the problem of optimal path planning for a sensor network with mutliple mobile nodes, whose measurements are supposed to be primarily used to estimate unknown parameters of a system modelled by a partial differential equation. The adopted framework permits to consider two- or three-dimensional spatial domains and correlated observations. Since the aim is to maximize the accuracy of the estimates, a general functional defined on the relevant Fisher information matrix is used...
Modal stabilizability and spectral synthesis
Mode set focused hybrid estimation
Estimating the state of a hybrid system means accounting for the mode of operation or failure and the current state of the continuously valued entities concurrently. Existing hybrid estimation schemes try to overcome the problem of an exponentially growing number of possible mode-sequence/continuous-state combinations by merging hypotheses and/or deducing likelihood measures to identify tractable sets of the most likely hypotheses. However, they still suffer from unnecessarily high computational...
Model based analysis of signaling pathways
The paper is concerned with application of mathematical modeling to the analysis of signaling pathways. Two issues, deterministic modeling of gene transcription and model-driven discovery of regulatory elements, are dealt with. First, the biological background is given and the importance of the stochastic nature of biological processes is addressed. The assumptions underlying deterministic modeling are presented. Special emphasis is put on describing gene transcription. A framework for including...
Model following control system with time delays
Design of model following control system (MFCS) for nonlinear system with time delays and disturbances is discussed. In this paper, the method of MFCS will be extended to nonlinear system with time delays. We set the nonlinear part of the controlled object as , and show the bounded of internal states by separating the nonlinear part into . Some preliminary numerical simulations are provided to demonstrate the effectiveness of the proposed method.
Model matching of 2-D multi-input multi-output systems