Panelists discuss how clinical decision support tools, care pathways, and artificial intelligence can address primary care ...

The more complex the decision and the more varied the stakeholders, the stronger the case for cognition-as-a-service.

Model Predictive Control (MPC) is a widely used optimization-based control strategy for constrained systems. MPC relies on the repeated online solution of an optimal control problem, which determines ...

A distributed event-triggered model predictive control strategy is proposed for large-scale spacecraft swarm. In pursuit of achieving precise formation control amidst the presence of multiple ...

Researchers from Google DeepMind introduced Diffusion Model Predictive Control (D-MPC), an approach that integrates multi-step action proposals and dynamics models using diffusion models for online ...

We present a distributed economic nonlinear model predictive control (DeNMPC) framework with computational delay compensation for flexible biodiesel production, exploring both sequential and iterative ...

Furthermore, the MPPT technique extracts maximum power from the PV panel based on model predictive control through its better transient response than the conventional incremental conductance method.

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We present a distributed model predictive control method, which enables a group of agents to compute their control inputs locally while communicating with their neighbors over a communication network.

Keywords: distributed power generation system, inertia, small-signal model, dynamic power sharing, synchronous generator imitation control Citation: Xiao H, Liu B, Huang X and Cai Z (2022) Synchronous ...