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State transition matrix of relative motion for the perturbed noncircular reference orbit
 Journal of Guidance, Control, and Dynamics
, 2003
"... The precise analytic solution with the reference orbit eccentricity and perturbation effects is needed for the relative motion of formation flying satellites. Since Hill’s equations have considerable errors and are insufficient for the long term prediction of the relative motion, the new approach, c ..."
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Cited by 25 (4 self)
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, called geometric method, is proposed to obtain the state transition matrix as a precise solution under the effects due to the reference orbit eccentricity and the gravitational perturbations. Based on the transformation and the state transition matrix for the relative orbital elements, the geometric
Explicit model predictive control for systems with parametervarying state transition matrix
 In IFAC World Congress, Seoul
"... Abstract: In this paper we propose a closedloop minmax MPC algorithm based on dynamic programming, to compute explicit control laws for systems with a linear parametervarying state transition matrix. This enables the controller to exploit parameter information to improve performance compared to a ..."
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Cited by 2 (2 self)
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Abstract: In this paper we propose a closedloop minmax MPC algorithm based on dynamic programming, to compute explicit control laws for systems with a linear parametervarying state transition matrix. This enables the controller to exploit parameter information to improve performance compared
FEDSM200345213 DENSITY DISTRIBUTION EVALUATION OF FREE FALL PARTICLES USING CT AND STATE TRANSITION MATRIX
"... ABSTRACT Spatial particle density distribution images in a pipe cross section have been evaluated by means of state transition matrix, which is a parameter indicating the dominant particle density transition patterns among time series images consisting of CT 2Dspace and 1Dtime. State transition c ..."
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ABSTRACT Spatial particle density distribution images in a pipe cross section have been evaluated by means of state transition matrix, which is a parameter indicating the dominant particle density transition patterns among time series images consisting of CT 2Dspace and 1Dtime. State transition
1 DEMONSTRATION OF THE DSST STATE TRANSITION MATRIX TIMEUPDATE PROPERTIES USING THE LINUX GTDS PROGRAM
"... The semianalytical theory for the motion of a space object replaces the conventional equations of motion with two formulas: (1) equations of motion for the mean equinoctial elements, and (2) expressions for the short periodic motion in the equinoctial elements. Very complete force models have been ..."
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for the partial derivatives so that (1) the mean element state transition matrix can be integrated backwards in time consistent with the interpolation architecture and (2) the epoch in a mean element orbit determination process can have an arbitrary location in a span of observation data. Both of these new
NASA/TM2002211776 A Numerical Scheme for Ordinary Differential Equations Having Time Varying and Nonlinear Coefficients Based on the State Transition Matrix
, 2002
"... Since its founding, NASA has been dedicated to the advancement of aeronautics and space science. The NASA Scientific and Technical Information (STI) Program Office plays a key part in helping NASA maintain this important role. The NASA STI Program Office is operated by Langley Research Center, the l ..."
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Since its founding, NASA has been dedicated to the advancement of aeronautics and space science. The NASA Scientific and Technical Information (STI) Program Office plays a key part in helping NASA maintain this important role. The NASA STI Program Office is operated by Langley Research Center, the lead center for NASA's scientific and technical information. The NASA STI Program Office provides access to the NASA STI Database, the largest collection of aeronautical and space science STI in the world. The Program Office is also NASA's institutional mechanism for disseminating the results of its research and development activities. These results are published by NASA in the NASA STI Report Series, which includes the following report types:
The Infinite Hidden Markov Model
 Machine Learning
, 2002
"... We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the theory of Dirichlet processes we can implicitly integrate out the infinitely many transition parameters, leaving only three hyperparameters which can be learned from data. Th ..."
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Cited by 637 (41 self)
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. These three hyperparameters define a hierarchical Dirichlet process capable of capturing a rich set of transition dynamics. The three hyperparameters control the time scale of the dynamics, the sparsity of the underlying statetransition matrix, and the expected number of distinct hidden states in a finite
D26111 Oldenburg
, 2006
"... We derive a procedure for a minimal state space realization of a rational transfer matrix over an arbitrary field. The procedure is based on the SmithMcMillan form and leads to a state transition matrix in Jacobson normal form. ..."
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We derive a procedure for a minimal state space realization of a rational transfer matrix over an arbitrary field. The procedure is based on the SmithMcMillan form and leads to a state transition matrix in Jacobson normal form.
Nonlinear Balanced Realizations
, 2001
"... In this paper a balanced realization for a smooth nonlinear system is defined. The approach is distinct from other notions of nonlinear balancing that appear in the literature and may be more computationally attractive since it avoids the need to compute the state transition matrix. ..."
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Cited by 8 (3 self)
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In this paper a balanced realization for a smooth nonlinear system is defined. The approach is distinct from other notions of nonlinear balancing that appear in the literature and may be more computationally attractive since it avoids the need to compute the state transition matrix.
SUBMITTED FOR PUBLICATION 1 A Generalized Fault Coverage Model for Linear TimeInvariant Systems
, 2008
"... This paper proposes a fault coverage model for Linear TimeInvariant (LTI) systems subject to uncertain input. A statespace representation, defined by the statetransition matrix and the input matrix, is used to represent LTI system dynamic behavior. The system uncertain input is considered to be u ..."
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This paper proposes a fault coverage model for Linear TimeInvariant (LTI) systems subject to uncertain input. A statespace representation, defined by the statetransition matrix and the input matrix, is used to represent LTI system dynamic behavior. The system uncertain input is considered
A StateTransition Model of Trust Management and Access Control
, 2001
"... We use a statetransition approach to analyze and compare the core access control mechanisms that are characteristic of a variety of trust management, access control list, and capabilitybased systems. The framework, which characterizes the set of rights a subject has over an object after any sequen ..."
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Cited by 44 (6 self)
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We use a statetransition approach to analyze and compare the core access control mechanisms that are characteristic of a variety of trust management, access control list, and capabilitybased systems. The framework, which characterizes the set of rights a subject has over an object after any
Results 1  10
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1,725