In this paper, a new control technique for nonlinear control based on hybrid modeling is proposed. The control system utilizes the well-known gradient descent, but the learning rate is adapted in each iteration step in order to accelerate the speed of convergence. It is shown that the selection of the learning rate results in stable training in the sense of Lyapunov. Advantages of this techniqu...

This document suggests a synthesis of a hybrid observer for switching systems. Such a hybrid observer is made up of a discrete observer identifying the switching signal and another one producing an estimation of the evolution of the continuous state. The developed estimation technique is the moving-horizon-state estimation (MHSE). In fact, this approach enables us to transpose the problem of ob...

The paper deals with model predictive control (MPC) of nonlinear hybrid systems with discrete inputs. It is often required to take into account the hybrid and/or nonlinear nature of real systems, therefore, a hybrid fuzzy model is used for MPC in the paper. Two approaches that are suitable for MPC of nonlinear hybrid systems with discrete inputs are compared on a batch reactor example: a branch...

This paper presents a Fault Detection and Isolation (FDI) system that can detect and isolate nuclear power plant (NPP) faults occurring in interacting systems. The proposed methodology combines two tools: observer based residual generation and neural network pattern matching into a powerful, hybrid diagnostic system. A computer-based model of a commercial Boiling Water Reactor (BWR) is used as ...

Slow proliferation of anammox bacteria is a major problem limiting the wider application of anammox technology in practical wastewater treatment. A novel anammox reactor packed with a Fe electrode was developed for enhancing anammox consortium activity and accelerating the startup of anammox process. After 125 days' operation, total nitrogen removal rate achieved 1209.6 mg N/L/d in this hybrid ...