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Linear Quadratic
, 2011
"... The proposal of Reshef et. al. (“MIC”) is an interesting new approach for discovering nonlinear dependencies among pairs of measurements in exploratory data mining. However, it has a potentially serious drawback. The authors laud the fact that MIC has no preference for some alternatives over others ..."
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The proposal of Reshef et. al. (“MIC”) is an interesting new approach for discovering nonlinear dependencies among pairs of measurements in exploratory data mining. However, it has a potentially serious drawback. The authors laud the fact that MIC has no preference for some alternatives over
The explicit linear quadratic . . .
, 2002
"... We present a technique to compute the explicit statefeedback solution to both the xnite and inxnite horizon linear quadratic optimal control problem subject to state and input constraints. We show that this closed form solution is piecewise linear and continuous. As a practical consequence of the r ..."
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We present a technique to compute the explicit statefeedback solution to both the xnite and inxnite horizon linear quadratic optimal control problem subject to state and input constraints. We show that this closed form solution is piecewise linear and continuous. As a practical consequence
On the linear quadratic datadriven control
 In Proceedings of the European Control Conference
, 2007
"... Abstract — The classical approach for solving control problems is model based: first a model representation is derived from given data of the plant and then a control law is synthesized using the model and the control specifications. We present an alternative approach that circumvents the explicit ..."
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Cited by 1 (1 self)
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identification of a model representation. The considered control problem is finite horizon linear quadratic tracking. The results are derived assuming exact data and the optimal trajectory is constructed offline. I.
Linear Quadratic Bumpless Transfer
"... The use of linear quadratic theory in bumpless transfer is discussed and a modification to a similar scheme proposed in [9] is suggested. Formulae are given for a feedback element which minimises a cost function deemed appropriate for ensuring bumpless transfer. The formulae are algebraic and depen ..."
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Cited by 10 (1 self)
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The use of linear quadratic theory in bumpless transfer is discussed and a modification to a similar scheme proposed in [9] is suggested. Formulae are given for a feedback element which minimises a cost function deemed appropriate for ensuring bumpless transfer. The formulae are algebraic
Linear Quadratic Control with Input
"... This paper studies a new approach to linear quadratic control for linear systems with input saturation. Our work presents an optimal sector bound to model the mismatch between the unsaturated controller and saturated one and an optimised control design associated with this sector bound. This leads t ..."
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This paper studies a new approach to linear quadratic control for linear systems with input saturation. Our work presents an optimal sector bound to model the mismatch between the unsaturated controller and saturated one and an optimised control design associated with this sector bound. This leads
Linear Quadratic Control Problems
, 2001
"... In linearquadratic control (LQC) problems with singular control cost matrix and/or singular transition matrix, we derive a reduction of the dimension of the Riccati matrix, simplifying iteration and solution. Employing a novel transformation, we show that, under a certain rank condition, the matrix ..."
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In linearquadratic control (LQC) problems with singular control cost matrix and/or singular transition matrix, we derive a reduction of the dimension of the Riccati matrix, simplifying iteration and solution. Employing a novel transformation, we show that, under a certain rank condition
Piecewise linear quadratic optimal control
 in Proc. American Control Conf
, 1997
"... Abstract—The use of piecewise quadratic cost functions is extended from stability analysis of piecewise linear systems to performance analysis and optimal control. Lower bounds on the optimal control cost are obtained by semidefinite programming based on the Bellman inequality. This also gives an ..."
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Cited by 98 (7 self)
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Abstract—The use of piecewise quadratic cost functions is extended from stability analysis of piecewise linear systems to performance analysis and optimal control. Lower bounds on the optimal control cost are obtained by semidefinite programming based on the Bellman inequality. This also gives
LINEARQUADRATIC MODELS OF NONITERATIVE COORDINATION
"... Abstract: Hierarchical approach is applied for solving linearquadratic optimization problems. Non iterative coordination in multilevel systems is considered. Explicit analytical relations are derived, concerning the problems of quadratic programming. ..."
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Abstract: Hierarchical approach is applied for solving linearquadratic optimization problems. Non iterative coordination in multilevel systems is considered. Explicit analytical relations are derived, concerning the problems of quadratic programming.
Results 1  10
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