Trajectory tracking in nonlinear systems via nonlinear reduced-order observers

The use of nonlinear control methods in control engineering implies, in general, the knowledge of the full state vector. In this paper we present a nonlinear observer of reduced order (i.e. the order of the observer is less than the order of the nonlinear system observed) for estimating the state va...

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Autor principal: Garc Ía, R.A
Otros Autores: D'attellis, C.E
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 1995
Acceso en línea:Registro en Scopus
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100 1 |a Garc Ía, R.A. 
245 1 0 |a Trajectory tracking in nonlinear systems via nonlinear reduced-order observers 
260 |c 1995 
270 1 0 |m Garc Ía, R.A.; Departamento de Matemática, F. C. E. y N, Universidad de Buenos Aires Ciudad Universitaria, BuenosAires, 1428, Argentina 
506 |2 openaire  |e Política editorial 
504 |a Byrnes, C.I., Isidori, A., (1989) Proceedings of the 28Th Conference on Decision and Control, pp. 2247-2251. , Steady state response, separation principle and the output regulation of nonlinear systems 
504 |a Canudas De Wit, C., Fixot, N., (1992) IEEE Transactions on Automatic Control, 37, pp. 1234-1237. , Adaptive control of robot manipulators via velocity estimated feedback 
504 |a Canudas De Wit, C., Slotine, J.-J.E., (1989) IFAC Symposium on Nonlinear Control Systems Design, pp. 142-147. , Sliding observers for robot manipulators, Capri, Italy 
504 |a Canudas De Wit, C., Fixot, N., Astrom, K.J., (1992) IEEE Transactions on Robotics and Automation, 8, pp. 138-144. , Trajectory tracking in robot manipulators via nonlinear state feedback 
504 |a Cernuschi Frías, B., García, R.A., Zanutto, S., (1993) Proceedings of the 1993 World Congress on Neural Networks, 2, pp. 281-284. , A neural network model of tunable multiple associative memories 
504 |a Ciccarella, G., Dalla Mora, M., Germani, A., (1993) International Journal of Control, 57, pp. 537-556. , A Luenberger-like observer for nonlinear systems 
504 |a D'attellis, C.E., García, R., (1993) Submitted for Publication, , A robust nonlinear observer for trajectory tracking in robot manipulators 
504 |a De Luca, A., Lanari, L., Oriolo, G., (1991) Automatica, 27, pp. 535-539. , A sensitivity approach to optimal spline robot trajectories 
504 |a García, R.A., (1993) Observadores No Lineales Del Tipo Luenberger, , Doctoral Dissertation, University of Buenos Aires 
504 |a García, R.A., D'attellis, C.E., (1993) Control-Theory and Advanced Technology, , Nonlinear observers in closed-loop trajectory tracking. Submitted to 
504 |a Gauthier, J.P., Hammouri, H., Othman, S., (1992) IEEE Transactions of Automatic Control, 37, pp. 875-880. , A simpler observer for nonlinear systems; applications to bioreactor 
504 |a Hermann, R., Krener, A.J., (1977) IEEE Transactions on Automatic Control, 22, pp. 728-740. , Nonlinear controllability and observability 
504 |a Hopfield, J.J., (1984) Proceedings of the National Academy of Science U.S, 81, pp. 3088-3092. , Neurons with graded response have collective computational capabilities like those of two-state neurons 
504 |a Isidori, A., (1989) Nonlinear Control Systems, , second edition, Berlin: Springer-Verlag 
504 |a Lefschetz, S., (1964) Differentia Equations: Geometry Theory, , second edition, New York: Interscience 
504 |a Mancilla Aguilar, J.L., García, R.A., D'attellis, C.E., (1994) Submitted for Publication, , Exact linearization of non-linear systems: trajectory tracking with bounded controls and state constraints 
504 |a Nijmeijer, H., Van Der Schaft, A.J., (1990) Nonlinear Dynamical Control Systems, , Berlin: Springer-Verlag) 
504 |a Sontag, E.D., (1990) Mathematical Control Theory. Deterministic Finite Dimensional Systems, , Berlin: Springer-Verlag 
504 |a Vidyasagar, M., (1980) IEEE Transactions on Automatic Control, 25, pp. 504-509. , On the stabilization of nonlinear systems using state detection 
504 |a Wonham, W.M., (1979) Linear Multivariable Control: A Geometric Approach, , Berlin:Springer-Verlag 
520 3 |a The use of nonlinear control methods in control engineering implies, in general, the knowledge of the full state vector. In this paper we present a nonlinear observer of reduced order (i.e. the order of the observer is less than the order of the nonlinear system observed) for estimating the state variables to be used in a trajectory tracking control loop. The nonlinear observer has the following characteristics: (1) the speed of convergence is adjustable; (2) the closed-loop control for trajectory tracking, with the observer in the loop, is stable. Applications to a robot arm and a neural network are included. © 1995 Taylor & Francis Group, LLC.  |l eng 
593 |a Departamento de Matemática, F. C. E. y N, Universidad de Buenos Aires Ciudad Universitaria, Buenos Aires, 1428, Argentina 
593 |a Centro de Cálculo Científico, C. A. C, Comisión Nacional de Energia Atómica, Av. Libertador 8250, BuenosAires, 1429, Argentina 
690 1 0 |a CLOSED LOOP CONTROL SYSTEMS 
690 1 0 |a CONTROL THEORY 
690 1 0 |a FEEDBACK 
690 1 0 |a NEURAL NETWORKS 
690 1 0 |a ROBOTIC ARMS 
690 1 0 |a STATE ESTIMATION 
690 1 0 |a CONTROL ENGINEERING 
690 1 0 |a CONTROL PROBLEM 
690 1 0 |a FULL STATE VECTOR 
690 1 0 |a NONLINEAR OBSERVER 
690 1 0 |a STATE VARIABLE ESTIMATION 
690 1 0 |a TRAJECTORY TRACKING 
690 1 0 |a NONLINEAR CONTROL SYSTEMS 
700 1 |a D'attellis, C.E. 
773 0 |d 1995  |g v. 62  |h pp. 685-715  |k n. 3  |p Int J Control  |x 00207179  |w (AR-BaUEN)CENRE-5230  |t International Journal of Control 
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856 4 0 |u https://doi.org/10.1080/00207179508921563  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_00207179_v62_n3_p685_GarcIa  |y Handle 
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