Proceedings, Volumes 1-2IEEE, 1996 - Artificial intelligence |
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Page 86
... position A on the device under test were 540 Hz and 790 Hz . The frequency spectrum shown in Figure 12 ( b ) has peaks whose levels are much greater than the pedestal level . The natural vibration frequencies of the position B on the ...
... position A on the device under test were 540 Hz and 790 Hz . The frequency spectrum shown in Figure 12 ( b ) has peaks whose levels are much greater than the pedestal level . The natural vibration frequencies of the position B on the ...
Page 207
... position controlled part ( IS ) xw , where xw Є R6 and S = diag [ s1 , ... , s6 ] is the selection matrix [ 2 ] . Each element of the matrix S is a binary and si 1 indicates that the ith coordinate is force- controlled and s1 = O ...
... position controlled part ( IS ) xw , where xw Є R6 and S = diag [ s1 , ... , s6 ] is the selection matrix [ 2 ] . Each element of the matrix S is a binary and si 1 indicates that the ith coordinate is force- controlled and s1 = O ...
Page 305
... position to a unit position . The task - oriented visuo - motor map that maximizes the value of the dexterity measure is learned by iteration of the processing from Step 1 to Step 5 . In general , B is incorrect when learning iteration ...
... position to a unit position . The task - oriented visuo - motor map that maximizes the value of the dexterity measure is learned by iteration of the processing from Step 1 to Step 5 . In general , B is incorrect when learning iteration ...
Contents
Intelligent HumanMachine Systems in a Modern Communication Infrastructure | 1 |
SESSION TU4AScheduling | 16 |
Rescheduling Method based on Distributed Cooperative Problem Solving Model | 35 |
Copyright | |
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agents algorithm application approach assignment Automated Manufacturing Systems Automation behavior buffer component Computer configuration considered constraints control system cost data link layer deadlines deadlock defined device under test distributed due dates dynamic environment evaluation evolutionary algorithm example execution feature fieldbus Figure flexible frequency function Genetic Algorithm global heuristic holarchy holons IEEE implementation input integration intelligent interaction learning logical controller machine macroaction manipulator Manufacturing Systems messages method Mimetism model checking monitoring nodes object optimal output paper parameters performance Petri net Petri nets phase PID control placement planning plant priority inversion problem processor Profibus proposed protocol real-time resource robot robot cell scheduling semaphore sensor sequence server shown signal simulation solution solve specific stage station structure supervisor task techniques telerobotic Theorem tion token torque transition vector vibration