Sentence examples for model a constrained from inspiring English sources
Base on the fluid model, a constrained model is derived to get optimized global distribution performance in the channel-based system with limited relaying resources.
Based on the model, a constrained multivariable generalized predictive control (CMGPC) strategy is designed and implemented in a simulation of 375 MW thermal power plants.
The system model is described in Section 2. Based on the system model, a constrained multiuser resource allocation problem is formulated in Section 3. A suboptimal algorithm for solving the problem is discussed in Section 4. Simulation results are presented in Section 5 and the main findings are summarized in Section 6.
The first three alternative LP approaches solve the frequency distribution problem by considering a model different from the low-order all-pole model, namely, a (constrained) pole-zero (PZLP) model, a high-order all-pole (HOLP) model, or a pitch prediction (PLP) model.
This equation leads to two different interpretations of the PARALIND model, as a constrained Tucker model whose core tensor admits a PARAFAC decomposition with factor matrices Φ(n), called 'interaction matrices,' and as a constrained PARAFAC model with constrained factor matrices A ̄ ( n ) = A ( n ) Φ ( n ).
An exponential model with a constrained exponent offers plausible profiles.
Starting from the total electric enthalpy of the heterogenous continuum, we formulate the micromechanics model as a constrained minimization problem using the variational asymptotic method.
To begin with, a micro-mechanical model of a constrained partially crystallized polymer chain with an extend-chain crystal is derived and connected to the macroscopic level using the non-affine micro-sphere model.
Next, the design is modeled as a constrained optimization problem as follows: begin{array} {ll} minlimits_{w,l,h} & S w,l,h) s.t.
Hence, ISR was modeled as a constrained linear function of BG (in mmol/l) for NGT and IGT patients separately with R2 = 0.61 and 0.69 respectively.
A multivariable subspace identification method is proposed to overcome the difficulties associated to the large time constants of the process and identify a linear process model, upon which a constrained predictive controller is developed.
