... load, compared with the standard federated Kalman filtering algorithm. filtering theory Kalman filters matrix algebra Many researchers have made great efforts to find fast and simple federated Kalman filtering algorithms to tackle this problem. Carlson ( 3 ) proposed two methods...

... is demonstrated. Simply, less computational cost and suitability for real-time applications are the main advantages of the proposed algorithm. 30 12 2008 01 12 2009 09 02 2010 09 02 2010 entropy filtering theory fuzzy set theory Monte Carlo methods target tracking data...

... complimentary filter was implemented, a nearly 10 dB improvement in resonant frequency attenuation was achieved while maintaining consistent stability margins. 30 05 2008 09 03 2009 18 08 2009 damping filtering theory signal processing suspensions (mechanical components...

... is the time of the i th impulse. 12 10 2007 11 05 2008 10 10 2008 cranes filtering theory oscillations command shaping input shaping negative input shaping overcurrenting variable saturation command space crane control 2008 American Society of Mechanical...

...-deceleration (on snow) 4 Mild handling (on snow) 03 October 2001 22 November 2004 13 06 2006 sensor fusion adaptive Kalman filters filtering theory vehicle dynamics covariance matrices nonelectric sensing devices velocity measurement reliability Sensor...

...., 144 . Sorenson , H.W. , 1970 , “ Least-Squares Estimation: From Gauss to Kalman ,” IEEE Spectrum , 7 , pp. 63 – 68 . Grewal, M.S., and Andews, A.P., 1993, “Kalman Filtering Theory and Practice,” Prentice-Hall, Englewood Cliffs, NJ. Elbert, T.F., 1984, “Estimation and Control...

... and Control Division, May 2002; final revision, January 2003. Associate Editor. N. Olgac. 01 May 2002 01 January 2003 04 06 2003 model reference adaptive control systems feedback delay systems linear systems feedforward adaptive filters filtering theory uncertain systems...

... and Control Division, May 2002; final revision, December 2002. Associate Editor: N. Olgac. 01 May 2002 01 December 2002 04 06 2003 delay systems identification filtering theory uncertain systems statistical analysis The stochastic optimal guaranteed estimation problem...

.... Associate Editor: S. D. Fassois. 01 October 2000 01 September 2002 10 03 2003 state estimation observability process control filtering theory polynomials Gaussian noise It is virtually the common opinion that the optimal nonlinear finite-dimensional filter exists...

... the proposed schemes. observers uncertain systems feedback discrete time systems stability noise sensitivity Kalman filters filtering theory State Estimator Discrete Kalman Filter Perturbation Observer Robustness In 11 , we have constructed a discrete perturbation observer...

... synthesis filtering theory frequency-domain synthesis sensitivity analysis stability Repetitive control is a subclass of learning control systems that achieves low error in systems with periodic exogenous inputs with known period. This is achieved by introducing a highly frequency selective gain...

... synthesis control system analysis stability learning systems feedback computational complexity filtering theory sampled data systems 01 March 2001 01 May 2002 16 12 2002 Contributed by the Dynamic Systems and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS...

..., AND CONTROL . Manuscript received by the Dynamic Systems and Control Division December 2000. Associate Editor: R. Langari. 01 December 2000 23 07 2002 adaptive filters Kalman filters filtering theory nonlinear equations nonlinear dynamical systems noise feedforward neural nets...

.... 24 March 2000 10 05 2002 MIMO systems tracking filtering theory optimisation polynomial matrices multivariable control systems robust control model reference adaptive control systems reduced order systems Obtaining a controller which causes a system to track a set...

... filtering theory digital simulation Figure 3 ( a ) represents the free-body diagram of the road-arm. The inertial effect of the mass can be neglected because the magnitude of the inertial force is much smaller than the external force acting on it. (5) Mr ji − Raw yi la i...

... . Manuscript received by the Dynamic Systems and Control Division July 26, 2000. Associate Editor: J. Tu. 26 July 2000 periodic control discrete time systems filtering theory active noise control tuning digital control learning systems Repetitive control is effective in asymptotic...

... Division February 21, 2000. Associate Technical Editors: E. Misawa and V. Utkin. 21 February 2000 variable structure systems control system synthesis low-pass filters filtering theory manipulator dynamics tracking convergence time-domain analysis frequency-domain synthesis matrix...

... . Sorenson, H. W., 1985, Kalman Filtering: Theory and Application , IEEE Press, New York, N.Y. Song, Y., and Grizzle, J. W., 1992, “The extended kalman filter as a local asymptotic observer for nonlinear discrete-time systems,” in Proc. of the American Control Conference , Chicago, IL, pp. 3365–3369...

... one column between two stories. So, it is shown that the location and the size of the corresponding stiffness decrease can be detected. 07 April 1999 flexible structures identification vibrations dynamics filtering theory spectral analysis The matrices C s...

... OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL . Manuscript received by the Dynamic Systems and Control Division March 16, 1999; Associate Editor: S. Fassois. 16 March 1999 fault diagnosis filtering theory estimation theory game theory monitoring large-scale systems Observers...