Optimal Sensor and Actuator Scheduling in Sampled-Data Control of Spatially Distributed Processes

57a Actuator/Sensor Scheduling for Distributed Processes with Quantized Control Systems

Nael H. El-Farra The study of distributed parameter systems has been a subject of considerable interest in process control research as evidenced by the large and growing number of research studies dealing with various aspects of the analysis and control of distributed process systems (e.g., see [1], [2], [4], [5], [9]). The motivation for these studies stems in part from the distributed nature ...

Optimal Sampled-data Control

Optimal Sensor and Actuator Locations in Linear Distributed Parameter Systems

A constructive method is developed to obtain optimal sensor and actuator locations for inverse optimal state estimation and control of a class of linear distributed parameter systems (DPSs). Given the inverse optimal state estimators and controllers for linear DPSs developed by the first author recently, it is shown that the performance index for optimal locations of sensors and actuators is th...

Estimation of Spatially Distributed Processes Using Mobile Spatially Distributed Sensor Network

The problem of estimating a spatially distributed process described by a partial differential equation (PDE), whose observations are contaminated by a zero mean Gaussian noise, is considered in this work. The basic premise of this work is that a set of mobile sensors achieve better estimation performance than a set of immobile sensors. To enhance the performance of the state estimator, a networ...

Sensor Network Design for Estimation of Spatially Distributed Processes ?

In a typical moving contaminating source identification problem, after some type of biological or chemical contamination has occurred, there is a developing cloud of dangerous or toxic material. Its evolution is governed by partial differential equations which include diffusion and transport phenomena. A number of mobile sensors can be deployed in the spatial area to form a sensor network and m...