生气的边缘
发表于 2025-3-23 10:19:51
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embolus
发表于 2025-3-23 17:24:28
Distributed Optimization for MPC of Linear Dynamic Networkse models consist of networks of subsystems with deterministic and uncertain dynamics subject to local and coupling constraints on the control and output signals. The distributed optimization algorithms are based on gradient-projection, subgradient, interior-point, and dual strategies that depend on
善辩
发表于 2025-3-23 21:25:36
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Integrate
发表于 2025-3-24 01:27:09
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货物
发表于 2025-3-24 05:22:09
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空中
发表于 2025-3-24 10:27:37
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Genome
发表于 2025-3-24 14:13:15
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paragon
发表于 2025-3-24 15:09:25
Distributed MPC of Interconnected Nonlinear Systems by Dynamic Dual Decomposition dynamics subject to both state and input constraints is proposed. The approach applies a dynamic dual decomposition method to reformulate the original centralized NMPC problem into a distributed quasi-NMPC problem by linearization of the nonlinear system dynamics and taking into account the couplin
垄断
发表于 2025-3-24 22:02:49
D-SIORHC, Distributed MPC with Stability Constraints Based on a Game Approachure, thereby reducing the computational load. This approach differs from other distributed MPC algorithms based on linear models in the inclusion of stability constraints in the local controllers that leads to a different control law. The controller usage is illustrated through its application to a
Malfunction
发表于 2025-3-25 00:05:25
Adaptive Quasi-Decentralized MPC of Networked Process Systemsal process state within each local control system. Whenever the forecast shows signs of instability of the local process state, the measurements of the entire process state are transmitted to update the model within this particular control system to ensure stability; otherwise, the local control sys