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This paper proposes a novel demand response (DR) mechanism based on real time electricity prices with the objective of cost reduction. The novelty of the proposed mechanism lies in the concept that electricity sub-prices are calculated based on the fraction of energy consumed by each unit/home. While, in traditional residential energy management programs, one DR signal applies to each associated unit...
A Nonlinear model predictive control (NMPC) for trajectory tracking with the obstacle avoidance of autonomous road vehicles traveling at realistic speeds is presented in this paper, with a focus on the performance of those controllers with respect to the look-ahead horizon of the NMPC. Two different methods of obstacle avoidance are compared and then the NMPC is tested in several simulated but realistic...
This paper presents an online Nonlinear Model Predictive Control (NMPC) framework for trajectory tracking of autonomous vehicles. The operating environment is assumed to be unknown with various different types of obstacles. A bicycle model is used for the prediction of the future states in the NMPC framework, and a fully nonlinear CarSim vehicle model is used for the simulations. Real-time analysis...
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