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» Optimal controller tuning for nonlinear processes
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GECCO
2004
Springer
109views Optimization» more  GECCO 2004»
13 years 10 months ago
PID Controller Tuning for Stable and Unstable Processes Applying GA
During the last years the use of intelligent strategies for tuning Proportional-Integral-Derivative (PID) controllers has been growing. The evolutionary strategies have won an impo...
Marco Antonio Paz-Ramos, Jose Torres-Jimenez, Enri...
ICCAD
1997
IEEE
137views Hardware» more  ICCAD 1997»
13 years 8 months ago
Optimization techniques for high-performance digital circuits
The relentless push for high performance in custom digital circuits has led to renewed emphasis on circuit optimization or tuning. The parameters of the optimization are typically...
Chandramouli Visweswariah
IJON
2002
154views more  IJON 2002»
13 years 4 months ago
Nonlinear model predictive control of a cutting process
Nonlinear model predictive control (MPC) of a simulated chaotic cutting process is presented. The nonlinear MPC combines a neural-network model and a genetic-algorithm-based optim...
Primoz Potocnik, Igor Grabec
WCE
2007
13 years 6 months ago
An Adaptive Cross-EntropyTuning of the PID Control for Robot Manipulators
— This paper proposes a population based adaptive tuning for dynamic position control of robot manipulators. The dynamic behavior of a robot manipulator is highly nonlinear, and ...
Mehmet Bodur
WSC
2004
13 years 6 months ago
Adaptive Control Variates
Adaptive Monte Carlo methods are specialized Monte Carlo simulation techniques where the methods are adaptively tuned as the simulation progresses. The primary focus of such techn...
Sujin Kim, Shane G. Henderson