Weighting Functions in Order to Modify the Isotropic Character of the Steric Constant Ωs. Its Application to the Hydrolyses of Carboxamides

An important stage in robust control design is to define the desired performances of the closed loop control system using the models of the frequency sensitivity functions S. If the frequency sensitivity functions remain within the limits imposed by these models, the control performances are met. In terms of the sensitivity functions, the specifications include: shape of S over selected frequency ranges, peak magnitude of S, bandwidth frequency, and tracking error at selected frequencies. In this context, this paper presents a study of the effects of the specifications of the weighting functions on the performances of robust control systems.

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Calculation of the weighting functions for the reconstruction of absorbing inhomogeneities in tissue by time-resolved optical projections

Quantum Electronics ◽

10.1070/qe2014v044n08abeh015495 ◽

2014 ◽

Vol 44 (8) ◽

pp. 719-725 ◽

Cited By ~ 4

Author(s):

A B Konovalov ◽

V V Vlasov

Keyword(s):

Weighting Functions ◽

Time Resolved

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Analytic evaluation of the weighting functions for remote sensing of blackbody planetary atmospheres: a general linearization approach

Journal of Quantitative Spectroscopy and Radiative Transfer ◽

10.1016/s0022-4073(01)00279-5 ◽

2002 ◽

Vol 74 (6) ◽

pp. 683-696 ◽

Cited By ~ 4

Author(s):

Eugene A. Ustinov

Keyword(s):

Remote Sensing ◽

Planetary Atmospheres ◽

Weighting Functions ◽

Analytic Evaluation

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Parametric weighting functions

Journal of Economic Theory ◽

10.1016/j.jet.2008.10.004 ◽

2009 ◽

Vol 144 (3) ◽

pp. 1102-1118 ◽

Cited By ~ 38

Author(s):

Enrico Diecidue ◽

Ulrich Schmidt ◽

Horst Zank

Keyword(s):

Weighting Functions

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A Dynamics-Based Optimal Trajectory Generation for Controlling an Automated Excavator

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1243/09544062jmes2032 ◽

2010 ◽

Vol 224 (10) ◽

pp. 2109-2119 ◽

Cited By ~ 4

Author(s):

S Yoo ◽

C-G Park ◽

S-H You ◽

B Lim

Keyword(s):

Optimal Trajectory ◽

Optimization Problem ◽

Optimization Problems ◽

Linear Constraints ◽

Control Points ◽

Weighting Functions ◽

B Splines ◽

Finite Dimensional ◽

Motion Optimization ◽

Save Energy

This article presents a new methodology to generate optimal trajectories in controlling an automated excavator. By parameterizing all the actuator displacements with B-splines of the same order and with the same number of control points, the coupled actuator limits, associated with the maximum pump flowrate, are described as the finite-dimensional set of linear constraints to the motion optimization problem. Several weighting functions are introduced on the generalized actuator torque so that the solution to each optimization problems contains the physical meaning. Numerical results showing that the generated motions of the excavator are fairly smooth and effectively save energy, which can prevent mechanical wearing and possibly save fuel consumption, are presented. A typical operator's manoeuvre from experiments is referred to bring out the standing features of the optimized motion.

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