Trajectory tracking control with convergence time assessment
José C. Geromel, Carlos E. Celeste
ARTIGO
Inglês
Agradecimentos: This work was supported by the National Council for Scientific and Technological Development (CNPq/Brazil) [grant number 302013/2019-9], and the São Paulo Research Foundation (Fapesp/Brazil) [grant number 2020/07574-6]
Abstract: This paper presents a general procedure for state feedback trajectory tracking control design for a class of nonlinear system that combines smoothness, robustness and convergence time assessment and reduction to a prescribed invariant residual set. In particular, it is well adapted to deal...
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Abstract: This paper presents a general procedure for state feedback trajectory tracking control design for a class of nonlinear system that combines smoothness, robustness and convergence time assessment and reduction to a prescribed invariant residual set. In particular, it is well adapted to deal with the trajectory tracking control of a half-car kinematic model since only one simple design condition provides the control law that imposes to the closed-loop system, asymptotic tracking of a given trajectory with a prescribed yaw angle orientation. Norm bounded additive matched disturbances are considered in order to establish a trade-off between robustness and speed of convergence. Two examples and a case study are presented and discussed in order to clearly illustrate and compare the theoretical results
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CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQ
302013/2019-9
FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP
2020/07574-6
Fechado
Trajectory tracking control with convergence time assessment
José C. Geromel, Carlos E. Celeste
Trajectory tracking control with convergence time assessment
José C. Geromel, Carlos E. Celeste
Fontes
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International journal of control (Fonte avulsa) |