Robust performance

Robust stability provides a minimum requirement in an environment where there is plant model uneertainty. For a eontrol system to have robust performanee it should be eapable of minimizing the error for the worst plant (i.e. the one giving the largest error) in the family G(jtu) E tt. 

For the //oo-control problem, from equation (9.131), the oo-norm of the weighted sensitivity funetion ean be written 

as part of the design proeess, a bound is plaeed upon the sensitivity funetion 

Robust performance then means that the closed-loop system will meet the performance specification given in equation (9.145) if and only if the nominal system is closed-loop stable (equation (9.141)) and that the sensitivity function Sm(jar) and complementary sensitivity function for the nominal system satisfy the rela- 

A closed-loop control system has a nominal forward-path transfer function equal to that given in Example 6.4, i.e. 

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Robust stability and robust performance 9.8.1 Robust stability... 

In any case, no electrode material or approach fulfills the requirements for a successful photoelectrochemical process in all respects, i.e., for routine practical use hence novel materials and approaches are constantly pursued. Note that beside the robust performance needed, the most important figure of merit for a semiconductor photoelectrode used for water splitting is the photoconversion efficiency, which is... 

The high dimensional nature of LIBS signals can lead to several computational issues when used in conjunction with many machine learning techniques. Dimensionality reduction is the process by which the high dimensional signals are mapped into a lower dimensional space. The resulting lower dimensional space can enable more robust performance when used in conjunction with pattern recognition techniques. 

Robust performance evaluation processes are needed to provide organizations with feedback on the effectiveness of cyber security policy and technical implementation. A sign of a mature organization is one that is able to self-identify... 

The Amb a 1 concentration of the final purified intermediate bulk is determined by an absorbance method chosen for its precision, accuracy, and simplicity. Because Amb a 1 bulk intermediate will now be conjugated to 1018 ISS (and the number of linked 1018 ISS affects the activity of the resulting AIC), it is essential to quantitate the Amb a 1 concentration accurately and precisely. A significant over- or underestimation of protein concentration will result in an over- or underestimation of the heterobifunctional linker required to activate the protein for coupling to 1018 ISS. The absorbance method, more dependent on well-calibrated instrumentation than lab technique, was chosen because it is an easy procedure to transfer to the production site. Dilution skills are the only requirement for robust performance of a well-developed and validated absorbance method. Hence a contract manufacturing site could readily quantitate Amb a 1 without the... 

Chapter 16 covers the analysis of multivariable processes stability, robustness, performance. Chapter 17 presents a practical procedure for designing conventional multiloop SISO controllers (the diagonal control structure) and briefly discusses some of the full-blown multivariable controller structures that have been developed in recent years. 

Possibly less obvions, bnt eqnally signihcant, is the fact that the integrity of the sample is more likely retained when it is not removed from the process which is to be characterized in contrast to the laboratory analysis this approach can offer trae process analysis versus merely sample analysis. This inherent characteristic can be a donble-edged sword, however. While the signal from a weU-designed and operated analyzer contains a variety of information that can be effectively used for process understanding and control, there are also nniqne challenges for the robust performance of a process analytical method. 

Most process Raman instruments have few, if any, moving parts and thus are quite stable and robust. This reduces the number of parts likely to need replacement. The laser and detector shutter are the most common service items. Special utilities and consumables are not required. Proper enclosure selection allows instruments to survive harsh environments, such as installation outdoors or around vibrations. An instrument built to accurate specifications and well installed is unlikely to require much care or daily attention. However, it is important to remember that there is no such thing as a maintenance-free instrument. Limited additional maintenance will ensure robust performance for years. 

The remaining task lies in the determination of the control matrix X and observer matrix Z such that the sufficient condition for robust performance, Eq. (22.28), holds. A Lyapunov-based approach is employed to obtain these two matrices. After some lengthy and complicated manipulations of Eq. (22.29) and the control structure shown in Fig. 22.3, the following two Riccati equations are derived, whose positive-definite solutions correspond to the control and observer matrices, X and Z. 

Figures 22.6 and 22.7 present the results. The control scheme developed in the present work indeed guarantees robust performance for a wide variety of perturbed systems with significant model uncertainties.

In controller tuning, a choice must be made between performance and robustness. Performance is a measure of how well a given con-... 

Jain AN (2007) Surflex-Dock 2.1 robust performance from ligand energetic modeling, ring flexibility, and knowledge-based search. J Comput Aided Mol Des 21 281-306... 

Rigorous results for the performance of constrained MPC are lacking. However, there are a number of propositions on how the performance of MPC could be improved. Such propositions rely on (a) modifying the structure of MPC for robust performance, (b) tuning MPC for robust performance, and (c) developing efficient algorithms for the numerical solution of the MPC on-line optimization problem, thus enabling the formulation of more complex and realistic on-line optimization problems that would in turn improve performance. 

In this application, the potential of the rehable and robust performance of atmospheric-pressure ionization (API) in LC-MS and the selectivity gain by the use of SRM became evident. The high selectivity of SRM enables significant reduction of the chromatographic analysis time. Some review papers were published [2-4]. 

The pCAD provided for the first time true real-time agent detection capabilities with subsecond equilibrated agent responses. It offers robust performance for ground and unmanned aerial vehicle applications in an environment with dynamically changing humidity and temperature a palm-sized system fabricated with commercial off-the-shelf components and low-power operation with no consumables. 

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