Sentence examples for by relaxing the constraints from inspiring English sources

Furthermore, by relaxing the constraints with a sequence of reachable sets, a switching strategy is adopted to enlarge the attractive region of the resulting aggregation-based MPC.

A triangular carrier-based fixed-frequency HCC strategy is expanded by relaxing the constraints on the rising and descending rates of the winding current to advance the capability of HCC to realize fixed-frequency modulation in the steady state.

The classification is setup to analyse PBAF performance by relaxing the constraints for compensating the usability issues.

From Lin algorithm, a new algorithm termed soft-constraint satisfaction multimodulus algorithm (SCS-MMA) was derived by relaxing the constraints defined by Lin using principle of soft-constraint satisfaction (SCS) [14].

Mathematically, by relaxing the constraints, the Lagrangian is expressed as begin{aligned} L_{AF}left(boldsymbol{p},t_{s}, boldsymbol{Z}_{1}right),=, omega_{1}mathbb{E} left[ p_{p},+, p_{sp},+, p_{ss}right]+ omega_{2} mathbb{E}left[t_{s}right] +xi left(!mathbb{E} left[!e^{-theta_{s} t_{s}Blog_{2}left 1++ frac{p_{ss} gamma_{ss}}{t_{s}}!right)}!right] right.

The motivation for soft geometric unmixing is to provide some tolerance to experimental error and outliers by relaxing the constraints in Program 1, allowing points to lie outside the boundary of the simplex fit to the data.

This paper presents a new probabilistic estimation model that improves the previous estimators by relaxing the constraint on detours in a route.

This study presents a novel problem formulation, called the selective pickup and delivery problem (SPDP), by relaxing the constraint that all pickup nodes must be visited.

By relaxing the constraint on the exponential change rate of the control signal and allowing arbitrary complexity in describing the trajectory, the proposed approach becomes equivalent to the traditional approach in MPC design.

The problem can be solved by relaxing the constraint with the ℓ 1-norm and by using convex optimization [12].

One might want to move beyond orthodox probability theory by relaxing the constraint that degree of belief be represented by a real valued function.