Results 251 to 260 of about 884,273 (294)
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Nonlinear H∞ Attitude Control Using Modified Rodrigues Parameters
Journal of Guidance, Control, and Dynamics, 2014a = angular velocity gain a = axis of rotation b = modified Rodrigues parameter gain C = rotation matrix c = coefficient in storage (Lyapunov) function d = disturbance torque f x = state function G σ = modified Rodrigues parameter kinematics matrix g x = control input function Hγ = left-hand side of Hamilton–Jacobi inequality h x = state weighting ...
Mark R. Binette +2 more
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RELAXATION AND OPTIMAL CONTROL OF NONLINEAR DISTRIBUTED PARAMETER SYSTEMS
IFAC Proceedings Volumes, 1989Abstract In this paper we examine optimal control problems governed by nonlinear evolution equations. First we establish the existence of optimal controls under a convexity hypothesis on an appropriate orientor field. Then we drop the convexity hypothesis. Now in order to guarantee the existence of optimal solutions we need to pass to a larger system
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Nonlinear compensator synthesis via linear parameter-varying control
Proceedings of the 2004 American Control Conference, 2004For the nonlinear output regulation or servomechanism problem, a nonlinear compensator synthesis framework is presented that merges techniques for linear parameter-varying (LPV) systems with ideas derived from linearization-based gain scheduling. Plant linearizations about zero-error trajectories have an LPV structure upon which the synthesis of an LPV
D.A. Lawrence, M. Sznaier
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On-Line Parameter Control of Nonlinear Flexible Structures
1987The use of passive auxiliary mass dampers [1], in which a relatively small auxiliary mass is attached to the primary system by a resilient element, to attenuate the response of oscillating systems has long been a standard method for vibration control.
Dehghanyar, T. J. +3 more
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Journal of Dynamic Systems, Measurement, and Control, 1981
This paper presents a theory of nonlinear state observers for nonlinear and bilinear distributed parameter systems. Convergence results are proved for these observers. Linear feedback control derived from such state observers is applied to the distributed parameter system and conditions are presented for closed-loop stability. The emphasis is on finite
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This paper presents a theory of nonlinear state observers for nonlinear and bilinear distributed parameter systems. Convergence results are proved for these observers. Linear feedback control derived from such state observers is applied to the distributed parameter system and conditions are presented for closed-loop stability. The emphasis is on finite
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Study of the Parameters of the Nonlinear Controller
2019 International Siberian Conference on Control and Communications (SIBCON), 2019This paper presents the study of the influence of particular terms of developed control functions for the temperature control and heating dynamics of the containers with the active substance of metal vapors. The efficiency of using different terms for different stages and imposing additional conditions, taking into account the peculiarities of ...
Evgeny G. Bukreev +4 more
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Nonlinear Model-Predictive Control of Distributed-Parameter Systems
Chemical Engineering Science, 1992Abstract This paper describes the application of nonlinear model-predictive control (NMPC) to two distributed-parameter processes. The first system is a packed distillation column. The process gain varies in sign with the reboiler heat duty due to mass transfer effects.
Ashutosh A. Patwardhan +2 more
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Nonlinear Control of Distributed Parameter Processes with Disturbances
IFAC Proceedings Volumes, 1995Abstract This article focuses on systems of quasi-linear first-order hyperbolic partial differential equations with time-varying disturbances, for which the manipulated input and the disturbances are distributed in space. For these systems, we address and solve the problem of complete elimination of the effect of disturbances on the output via ...
Panagiotis D. Christofides +1 more
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IFAC Proceedings Volumes, 1989
Abstract In this paper we examine parameter identifiability of a system modeled by a linear regression (ARX model). We regard recursive identification algorithms, designed to estimate the parameters of the given linear model, as discrete time nonlinear systems.
C.A. Schwartz, H. Özbay
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Abstract In this paper we examine parameter identifiability of a system modeled by a linear regression (ARX model). We regard recursive identification algorithms, designed to estimate the parameters of the given linear model, as discrete time nonlinear systems.
C.A. Schwartz, H. Özbay
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NONLINEAR DISTRIBUTED PARAMETER STOCHASTIC SYSTEM OPTIMAL CONTROL UNDER INCOMPLETE MEASUREMENT
IFAC Proceedings Volumes, 1986Abstract An approximate solution on the optimal control design problem in terms of the generalized job criterium is considered for nonlinear mechanical distributed parameter systems subject to random external disturbances, the current state information being incomplete.
V.A. Karpov, V.V. Malanin
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