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We show how to design and solve, in a computationally tractable fashion, optimization-based reference governors for systems where multiple inner loops are closed by separate model predictive control (MPC) strategies.
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The problem is formalized and solved in a behavioral setting.
Backward swimming can be generated by setting (omega_{1}=0) and solving in a similar fashion.
Therefore, the equations can be discretized and solved in a regular and fixed parametric domain.
The two sets of equilibrium equations are derived and solved in a completely coupled manner.
Then, the perturbed equations are synthesised into the overall system and solved in a probabilistic way.
For this purpose, the momentum equations were formulated and solved in a boundary-fitted orthogonal coordinate system.
Lun et al.[13] show that the problem of minimizing the communication cost can be formulated as a linear program and solved in a distributed manner.
One of the significant breakthroughs brought by TRIZ approach is to drive problem statement and solving in a direction that is not in priority customer-oriented.
The mechanics of the web was modeled as an elastica beam, and solved in a Eulerian reference system by using the finite element method.
These equations are analyzed and solved in a Large Eddy Simulation (LES) context for a fuel jet mixing with an oxidizer co-flow.
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CEO of Professional Science Editing for Scientists @ prosciediting.com