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Table 5.2: Feedback control action and closed-loop cost for MPC and optimal control.

in Stability and Continuity of Nonlinear Model Predictive Control
by Edward Scott Meadows, Jr. 1994
Cited by 1

TABLE II CLOSED-LOOP NEURAL CONTROL

in Closed-loop neural control of cursor motion using a Kalman filter
by W. Wu, A. Shaikhouni, J. P. Donoghue, M. J. Black 2004
Cited by 6

Table 2: Speci#0Ccation of the closed loop modes of the design.

in Gain Scheduled Control of a Solar Power Plant
by Tor A. Johansen, Kenneth J. Hunt, Idar Petersen 2000
"... In PAGE 13: ... In the crossover region the design is chosen with su#0Ecient gain and phase margins, as well as small peaking of the sensitivity and complementary sensitivity functions. The control design parameters used for the three #0Dowrate regimes are listed in Table2 , leading to closed loop poles that can be seen in Figure 10. Compared to the open loop poles in Figure 9, the closed loop poles havemoved towards the origin in order to get high bandwidth.... ..."
Cited by 1

Table 7 Closed loop coptrd ivlh resporisive locol ieedbock

in Packet Data Group at BNR,
by Taas Denton, Alapati V. S. Reddy, Cui-qing Yang, Alapati V. S. Reddy
"... In PAGE 8: ... Closed loo Control flith Responsive, focal Feed if ack The single algorithm in this category is the source quench scheme [44], which is a closed loop con- trol scheme with feedbacks only being generated in response to congestive conditions in the net- workand beingsent to the upsteam neighborsofthe traffic.Thc Table7 givcsabriefsummaryofthealgo- rit h in. C/assification and Comparisons of Congestion Control Algorithms of Frame-Relay and ATM Networks pid advances in telecmnmunication and com- R apos; puter technologies have lead to the emergence and evolution ofmany new techniquesforcomputer communications and networking.... ..."

Table 2: Closed Loop Models

in Using MIMO feedback control to enforce policies for interrelated metrics with application to the Apache Web server
by Yixin Diao, Neha G, Joseph L. Hellerstein, Sujay Parekh, Dawn M. Tilbury 2002
"... In PAGE 12: ... For C2, we have K2 P = 503 and K2 I = 669. Refer to Table2 for a summary of different control gains. For the multiple SISO controller, KP = diag(K1 P ; K2 P ) and KI = diag(K1 I ; K2 I ).... In PAGE 13: ... Consider Figure 11(b), which uses the gains K2 P = 10000 and K2 I = 13400 (K1 P and K1 I are the same as before). From Table2 , we see that the magnitude of the dominant pole exceeds 1. Thus, control theory predicts that this choice of gains will cause the controller to be unstable.... In PAGE 14: ... Then, we choose Q = diag(1; 1; 0:1; 0:2) to weight the control errors more heavily than the accumu- lated control errors. Using this method, we have designed a less aggressive controller with smaller control gains; KP and KI are given in Table2 . Although the LQR design method does not use the setting time as the design criteria, the transient performance of the closed loop system can still be inferred from the closed loop pole locations.... ..."
Cited by 39

Table 1. Relationship between control theory and treatment planning. Closed-loop control Radiation therapy

in IOP PUBLISHING PHYSICS IN MEDICINE AND BIOLOGY
by Adam De La Zerda, Benjamin Armbruster, Lei Xing
"... In PAGE 3: ...) Unlike the open-loop control in conventional RT, in ART the controller outputs a plan (the action) for only the current treatment fraction. Table1 summarizes the relationship between control theory and treatment planning. Closed-loop control algorithms (which we propose for ART) are richer than static open- loop control algorithms (found for example in conventional RT).... ..."

Table 2. Closed-loop velocity control with position sensing, velocity estimation and disturbance input.

in unknown title
by unknown authors 2001
Cited by 2

TABLE I CLOSED LOOP PROPERTIESIN CASE OF PLANT AND CONTROLLER CONFIGURATIONS

in Transient Reduction in Reconfigurable Control Systems Utilizing Structure Dependence
by Tamas Kovacshazy, Gabor Peceli, Gyula Simon

Table 3. Comparison of closed-loop ISE values for the STPID control for the 15.6 m column distilling a mixture of benzene and toluene.

in unknown title
by unknown authors
"... In PAGE 7: ... In order to simplify the tuning procedure, stan- dard practice is to hold t2 and t3 equal to its minimum possible value and to vary t1 only in order to tune the controller. Table3 shows the tuning of STPID. Figures 6 and 9 show the best STPID control of overhead composition in the face of a 40 and a 20 percent step increase in feed composition respectively.... ..."

Table 1: Performance of MPC controllers before and after closed-loop identification. The 2 , #1B CD test was used as the

in Closed-Loop Identification with MPC for an Industrial Scale CD Control Problem
by Daniel R. Saffer Ii, Francis J. Doyle, Iii
"... In PAGE 13: ... A typical result from one of the trials can be seen in Figure 6. The results of these simulations are summarized in Table1 as a scaled value of the CD variance calculation as outlined in [29]. The MPC controller formed with the identified model proved to reduce the cross-directional variance by roughly 76 , 78#25 if a wet end full array sensor were used.... ..."
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