Emergent plants can be suitable indicators of anthropogenic stress in coastal wetlands if their responses to natural environmental variation can be parsed from their responses to human activities in and around wetlands. We used hierarchical partitioning to evaluate the independent influence of geomorphology, geography, and anthropogenic stress on common wetland plants of the U.S. Great Lakes co...

Thermal power plants, TPP, are one of the main players in phosphoric acid and fertilizer production value chain. The control plant assets involves considerable complexity is subject to several constraints, affecting asset’s reliability and, most importantly, operators’ safety. focus this paper investigate potential an agent-based digital twin architecture for collaborative prognostic plants. Ba...

in this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. cgam problem, a benchmark in cogeneration systems, is chosen as a casestudy. thermodynamic model includes precise modeling of the whole plant. for simulation of the steadysate behavior, the static neural network is applied. then using dynamic neural network, plant is...

This paper deals with the simultaneous design of a state feedback law and an event-triggering condition ensuring local exponential stability and LQ performance in the presence of plant input saturation and of a communication channel between the controller output and the saturated plant input. To this aim, we adopt Lyapunov-based techniques in a hybrid framework. The design of the event-triggere...

We study a stabilization problem of linear uncertain systems with parametric uncertainties via feedback control over data-rate-constrained channels. The objective is to find the limitation on the amount of information that must be conveyed through the channels for achieving stabilization and in particular how the plant uncertainties affect it. We derive a necessary condition and a sufficient co...

This paper proposes a hybrid model to identify the on-line pH characteristic of a neutralization plant. The hybrid model is the combination between neuro-fuzzy identification technique and first principle model. The neuro-fuzzy identification technique used training dataset to map the neutralization response curve in full ranges. The first principle model is based on material balances and chemi...