... systems adaptive control convergence discrete time systems iterative methods learning systems least squares approximations Lyapunov methods MIMO systems nonlinear control systems predictive control random processes 10 02 2009 27 07 2011 11 01 2012 12 01 2012...

... delay systems feedback iterative methods linear matrix inequalities linear systems stability In many control systems, delays appear either in the state, in the control input, or in measurements. There are many difficulties and restrictions to analyze and synthesize dynamic systems...

... nonlinearity (black solid) and 10% error ranges. The plots are normalized to show the relative errors. 02 12 2009 14 01 2011 21 11 2011 21 11 2011 Gaussian processes iterative methods thermoacoustics time series vibrations stochastic averaging random input...

... facility. 10 07 2009 23 07 2010 05 08 2011 05 08 2011 adaptive control industrial plants industrial robots iterative methods learning systems Iterative learning control (ILC) is a methodology applicable to reference tracking control problems, where the required...

... 2010 28 04 2010 boundary-value problems calculus curve fitting iterative methods mechanics open loop systems optimal control state feedback brachistochrone mechanics optimal control calculus of variations singular control theory Legendre–Clebsch condition numerical...

..., the noncausal, exact-inversion-based feedforward schemes, even those implemented in the time domain, require some prior knowledge of the scan path. The stringent precision requirement in the vertical direction favors the use of iterative methods, which can achieve precision close to the sensor noise levels...

... transforms electromechanical effects iterative methods learning systems linear systems mechanical variables control transient response Iterative learning control (ILC) is concerned with reference tracking control problems, where the required trajectory is repeated ad-infinitum over a finite...

... control system synthesis feedback intelligent actuators iterative methods position control Shape memory alloy (SMA), for example, nickel-titanium, is an active material whereby a change in temperature causes a change in the atomic crystal structure of the alloy. As a result, the material...

... is not necessarily the same for each task. feedforward control servo systems fixed structure optimization iterative methods data-based approach adaptation control system synthesis electromechanical effects feedforward integrated circuit manufacture iterative methods optimisation printers...

.... , and Huang , Y.-C. , 2002 , “ The Phenomenon of Apparent Convergence Followed by Divergence in Learning and Repetitive Control ,” Intell. Autom. Soft Comput. 1079-8587 , 8 ( 2 ), pp. 107 – 128 . 30 10 2006 13 02 2008 29 07 2008 adaptive control iterative methods...

... continuous time systems identification iterative methods learning systems noise sampled data systems Iterative learning control (ILC) has received much attention as one of the powerful model-free control methods in the past two decades (see, e.g., Refs. 1 2 3 4 5 6 7 8 9 10 11...

.... An illustrative example clearly shows that time-varying thruster faults can be accurately identified. artificial satellites observers time-varying systems fault diagnosis iterative methods stability learning systems adaptive control iterative learning observer time-varying thruster faults fault...

... time moment and Markov parameter of the system. The authors thank the anonymous reviewers for their helpful comments and suggestions which led to improvements of this paper. 09 10 2003 22 05 2005 transient response continuous time systems iterative methods reduced...

... January 2002; final revision, February 25, 2004. Review conducted by: R. Langari. 01 January 2002 25 February 2004 10 05 2005 learning systems iterative methods robust control frequency-domain analysis discrete time systems error compensation stability convergence...

... ) = p ¯ ( z , Q 0 ) . 01 04 2003 28 03 2005 polynomials computational complexity iterative methods robust control Construction of the spectral or root sets of uncertain polynomials is a problem of considerable interest in robustness analysis of control...

... systems learning systems uncertain systems nonlinear dynamical systems iterative methods convergence control system synthesis Iterative learning controls (ILC’s) are usually designed based on the discrete Lyapunov method and the control output is updated along trial in an affine fashion...

... Division December 26, 2003. Associate Editor: F. Ghorbel. 26 December 2003 03 12 2004 learning systems uncertain systems iterative methods learning (artificial intelligence) linear systems adaptive control stability inverse problems Iterative learning control (ILC...

... 2004 predictive control pendulums nonlinear control systems open loop systems iterative methods learning systems Model predictive control (MPC) is a feedback control scheme that generates the control action based on a finite horizon open loop optimal control from the initial state...

... Lyapunov methods iterative methods optimisation control system synthesis 02 02 2003 12 07 2004 2005 American Society of Mechanical Engineers ...

..., an observer-based iterative control algorithm is derived which uses coil current measurements instead of the position information to asymptotically suppress bouncing. feedforward internal combustion engines optimal control observers iterative methods optical sensors Compressed Natural Gas has...