Search Results

1 - 10 of 187 items :

  • "Feedback control" x
Clear All
A Control Design Technique for Grinding Systems with Feedforward Undercompensation and Feedback Control

(1): 23-26. [4] Boulvin M., Vande Wouwer A., Lepore R., Renotte C., Remy M., Modeling and Control of Cement Grinding Processes, IEEE Transactions on control systems technology 2003, 11(5): 715-725. [5] Cus F., Zuperl U., Balic J., Combined feedforward and feedback control of end milling system, Journal of Achievements in Materials and Manufacturing Engineering 2011, 45(1): 79-88. [6] Li S., Lv F., Feedforward Compensation Based the Study of PID Controller, Advances in Intelligent and Soft Computing 2012, 149: 59

Open access
Motion planning and feedback control for a unicycle in a way point following task: The VFO approach

References Astolfi, A. (1996). Asymptotic Stabilization of Nonholonomic Systems with Discontinuous Control , Ph.D. thesis, Swiss Federal Institute of Technology, Zurich. Bhat, S. P. and Bernstein, D. S. (2000). Finite-time stability of continuous autonomous systems, SIAM Journal on Control and Optimization   38 (3): 751-766. de Luca, A., Oriolo, G. and Samson, C. (1998). Feedback control of a nonholonomic car-like robot, in J. P. Laumond (Ed.), Robot Motion Planning and Control

Open access
Stabilizing A Reaction-Diffusion System Via Feedback Control

Abstract

A two-component reaction-diffusion system modelling a prey-predator system is considered. A necessary condition and a sufficient condition for the internal stabilizability to zero of one the two components of the solution while preserving the nonnegativity of both components have been established by Aniţa. In case of stabilizability, a feedback stabilizing control of harvesting type has been indicated. The rate of stabilization corresponding to the indicated feedback control depends on the principal eigenvalue of a certain elliptic operator. A large principal eigenvalue leads to a fast stabilization. The first goal of this paper is to approximate this principal eigenvalue. The second goal is to derive a conceptual iterative algorithm to improve at each iteration the position of the support of the stabilizing control in order to get a faster stabilization.

Open access
Three–Parameter Feedback Control of Amorphous Ribbon Magnetization

This work describes a specially developed software for controllable magnetic hysteresis measurements of amorphous and nanocrystalline ribbons. The sophisticated algorithm enables to simplify a hardware design and to suppress an influence of experimental conditions on the measurement results. The main software feature is a three-stage feedback algorithm, which accurately adjusts the magnetization conditions: magnetization amplitude, geomagnetic bias and magnetization waveform. Air flux compensation of the induction signal is also performed by the software using an effective value of the coil cross section obtained from a calibration measurement without the ribbon. Applicability of the designed setup is illustrated for a series of nanocrystalline Hitperm ribbons measured at the power-line conditions: 50 Hz frequency and sinusoidal magnetization waveform.

Open access
Robust adaptive fuzzy filters output feedback control of strict-feedback nonlinear systems

. (1999). A combined backstepping and small-gain approach to adaptive output feedback control, Automatica   35 (6): 1131-1139. Kanellakopopoulos, I., Kokotovic, P. V. and Morse, A. S. (1991). Systematic design of adaptive controllers for feedback linearizable systems, IEEE Transactions on Automatic Control   36 (11): 1241-1253. Kristic, M., Kanellakopoulos, I. and Kokotovic, P. V. (1992). Adaptive nonlinear control without over parametrization, System Control Letters   19 (3): 177

Open access
Decentralized design of interconnected H feedback control systems with quantized signals

References Brockett, R.W. and Liberzon, D. (2000). Quantized feedback stabilization of linear systems, IEEE Transactions on Automatic Control 45 (7): 1279-1289. Bushnell, L.G. (2001). Special section on networks & control, IEEE Control Systems Magazine 21 (1): 22-99. Chen, N., Shen, X. and Gui, W. (2011a). Decentralized H ∞ quantized dynamic output feedback control for uncertain interconnected networked systems, Proceedings of the 8th Asian Control Conference, Kaohsiung, Taiwan , pp. 131

Open access
H control of discrete-time linear systems constrained in state by equality constraints

-548. Filasov´a, A. and Krokavec, D. (2010). Observer state feedback control of discrete-time systems with state equality constraints, Archives of Control Sciences 20 (3): 253-266. Filasov´a, A. and Krokavec, D. (2011). Constrained H ∞ control of discrete-time systems. Proceedings of the 15th WSEAS International Conference on Systems, 2011, Corfu, Greece , pp. 153-158. Gahinet, P., Nemirovski, A., Laub, A.J. and Chilali, M. (1995). LMI Control Toolbox User’s Guide , The MathWorks, Natick, MA. Gajic, Z. and Qureshi, M

Open access
On attaining the prescribed quality of a controlled fourth order system

Abstract

In this paper, we discuss a method of auxiliary controlled models and its application to solving some robust control problems for a system described by differential equations. As an illustration, a system of nonlinear differential equations of the fourth order is used. A solution algorithm, which is stable with respect to informational noise and computational errors, is presented. The algorithm is based on a combination of online state/input reconstruction and feedback control methods.

Open access
Control of Conservation Laws – An Application

. Stability. Oscillations. Time Lags . In: Mathematics in Science and Engineering, Vol. 23, Academic Press, New York, 1966. [12] HALANAY, A.—RĂSVAN, V.: Stabilization of a class of bilinear control systems with application to steam turbine regulation , Tohoku Math. J. (2) 32 (1980), 299–308. [13] HALE, J. K.—VERDUYN LUNEL, SJOERD M.: Introduction to Functional Differential Equations . In: Appl. Math. Sci., Vol. 99, Springer-Verlag, New York, 1993. [14] DE HALLEUX, J.—PRIEUR, C.—CORON, J.-M.—D’ANDRÉA–NOVEL, B.—BASTIN, G.: Boundary feedback control in

Open access
An SQP trust region method for solving the discrete-time linear quadratic control problem

of Japan   51 (1): 15-28. Mostafa, E. M. E. (2012). A conjugate gradient method for discrete-time output feedback control design, Journal of Computational Mathematics   30 (3): 279-297. Nocedal J. and Wright, S. J. (1999). Numerical Optimization , Springer, New York, NY. Peres, P. L. D. and Geromel, J. C. (1993). H 2 control for discrete-time systems optimality and robustness, Automatica   29 (1): 225-228. Sulikowski, B., Gałkowski, K., Rogers, E. and Owens

Open access