7 papers
Smart energy management: process structure-based hybrid neural networks for optimal scheduling and economic predictive control in integrated systems
Long Wu, Xunyuan Yin, Lei Pan +1
Integrated energy systems (IESs) are complex systems consisting of diverse operating units spanning multiple domains. To address its operational challenges, we propose a physics-in…
Iterative distributed moving horizon estimation of linear systems with penalties on both system disturbances and noise
Xiaojie Li, Song Bo, Yan Qin +1
In this paper, partition-based distributed state estimation of general linear systems is considered. A distributed moving horizon state estimation scheme is developed via decomposi…
Performance triggered adaptive model reduction for soil moisture estimation in precision irrigation
Sarupa Debnath, Bernard T. Agyeman, Soumya R. Sahoo +2
Accurate soil moisture information is crucial for developing precise irrigation control strategies to enhance water use efficiency. Soil moisture estimation based on limited soil m…
Reduced-order Koopman modeling and predictive control of nonlinear processes
Xuewen Zhang, Minghao Han, Xunyuan Yin
In this paper, we propose an efficient data-driven predictive control approach for general nonlinear processes based on a reduced-order Koopman operator. A Kalman-based sparse iden…
Economic model predictive control of integrated energy systems: A multi-time-scale framework
Long Wu, Xunyuan Yin, Lei Pan +1
In this work, a composite economic model predictive control (CEMPC) is proposed for the optimal operation of a stand-alone integrated energy system (IES). Time-scale multiplicity e…
Soil moisture map construction using microwave remote sensors and sequential data assimilation
Bernard T. Agyeman, Song Bo, Soumya R. Sahoo +3
Microwave remote sensors mounted on center pivot irrigation systems provide a feasible approach to obtain soil moisture information, in the form of water content maps, for the impl…