This paper presents a new supervisory control scheme, which is based on a control-relevant switching logic. Unlike most of the existing switching methods considering only estimator performance, the proposed scheme takes both estimator and controller performance into account. As an index to the controller performance, an iISS (integral-Input-to-State Stability) Lyapunov function is employed; it ...

Both optimal and suboptimal distributed parameter state estimation @ o m were applied in real time to a heated cylindrical ingot. Following this, deterministic and stochastic feedback controllers were implemented Detailed studies of the effects of variables such as sensor choice, measurement error, model acanacy, controller and estimator parameters, and computational approximations on the contr...

The advances in agile micro aerial vehicles (MAVs) have shown great potential replacing humans for labor-intensive or dangerous indoor investigation, such as warehouse management and fire rescue. However, the design of a state estimation system that enables autonomous flight poses fundamental challenges dim smoky environments. Current dominated computer-vision based solutions only work well-lig...

A semi-linear reduced-order state estimator is presented to reconstruct approximately the state variable initially unknown of a class of nonlinear tubular reactors models, namely the exothermal plug-flow tubular reactor involving sequential reactions for which the kinetics depends on both the temperature and the reactant concentration. Our conception is based on bounded observations and the ana...

We study a networked state estimation problem for a linear system with multiple sensors, each of which transmits its measurements to a central estimator via a lossy communication network for computing the minimum mean-square-error (MMSE) state estimate. Under a general Markov packet loss process, we establish necessary and sufficient conditions for the stability of the estimator for any diagona...