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Deep Interacting Multiple Model Filtering
2022 American Control Conference (ACC), 2022In this paper, a deep learning-based multiple model estimation framework is presented for the state estimation of hybrid dynamical systems from high dimensional observations such as camera images. A low dimensional vector which represents the measurement
Ghananeel Rotithor, Ashwin P. Dani
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IEEE Transactions on Sustainable Energy, 2023
The intermittent nature of Wind Turbine Systems (WTSs) can severely affect the Low-Frequency Oscillations (LFOs) in the power system. Hence, a Wide-Area Damping Controller (WADC) is designed in this paper to provide adequate damping to critical LFO modes.
Abhineet Prakash +3 more
semanticscholar +1 more source
The intermittent nature of Wind Turbine Systems (WTSs) can severely affect the Low-Frequency Oscillations (LFOs) in the power system. Hence, a Wide-Area Damping Controller (WADC) is designed in this paper to provide adequate damping to critical LFO modes.
Abhineet Prakash +3 more
semanticscholar +1 more source
The Interacting Multiple Model Smooth Variable Structure Filter for Trajectory Prediction
IEEE transactions on intelligent transportation systems (Print), 2023An autonomous vehicle would benefit from being able to predict trajectories of other vehicles in its vicinity for improved safety. In order for the self-driving car to plan safe trajectories, paths of nearby vehicles are required to be predicted for risk
Salman Akhtar, S. Habibi
semanticscholar +1 more source
Adaptive Dynamic State Estimation of Distribution Network Based on Interacting Multiple Model
IEEE Transactions on Sustainable Energy, 2022With the large-scale access of all kinds of distributed generations (DGs), the operation mode of the distribution network is increasingly diverse and changeable.
Xiangyu Kong +5 more
semanticscholar +1 more source
IEEE Transactions on Neural Networks and Learning Systems, 2021
This article presents an interacting multiple model (IMM) for short-term prediction and long-term trajectory prediction of an intelligent vehicle. This model is based on vehicle’s physics model and maneuver recognition model.
H. Gao +4 more
semanticscholar +1 more source
This article presents an interacting multiple model (IMM) for short-term prediction and long-term trajectory prediction of an intelligent vehicle. This model is based on vehicle’s physics model and maneuver recognition model.
H. Gao +4 more
semanticscholar +1 more source