Leveraging the potential flexibility of large electrical loads has become an attractive option
for maintaining grid reliability, especially in electric grids with high penetrations of variable …

In the operation of wastewater treatment plants a key variable is dissolved oxygen (DO)
content in the bioreactors. The paper describes the development of an adaptive fuzzy control …

This paper investigates the performance-guaranteed adaptive self-healing control for
wastewater treatment processes (WWTPs), in which the non-ideal actuator, ie, the actuator …

A dynamic multi-objective optimization control (DMOOC) scheme is proposed in this paper
for the wastewater treatment process (WWTP), which can dynamically optimize the set …

Control of wastewater treatment plants (WWTPs) is challenging not only because of their
high nonlinearity but also because of important external perturbations. One the most …

A nonlinear multiobjective model-predictive control (NMMPC) scheme, consisting of self-
organizing radial basis function (SORBF) neural network prediction and multiobjective …

摘要针对污水处理过程控制能耗过大和水质超标严重等问题, 本文提出一种基于知识的污水生化
处理过程智能优化控制方法. 该方法通过记忆多目标智能优化算法的动态处理信息 …

From a practical-theoretic viewpoint, there is a need to develop rigorous design and analysis
tools for the control, fault diagnosis, and security of wastewater quality. However, sludge …

Dissolved oxygen (DO) concentration is a key variable in the activated sludge wastewater
treatment processes. To solve the DO concentration control problem, a neural adaptive …

The activated sludge process is a well-known method used to treat municipal and industrial
wastewater. In this complex process, the oxygen concentration in the reactors plays a key …