2018
DOI: 10.1007/978-981-10-6571-2_260
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Adaptive Sliding Mode Guidance Law with Terminal Impact Angle Constraint

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Cited by 2 publications
(5 citation statements)
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“…Remark 1. It can be seen from ( 13) that when the system state is far away from the equilibrium point, the linear term y in (11) will accelerate the convergence rate of the system. When the system is close to the equilibrium point, the nonlinear term |y| β sgn(y) plays an important role in accelerating the convergence rate of the system.…”
Section: Adaptive Fast Supertwisting Algorithmmentioning
confidence: 99%
See 3 more Smart Citations
“…Remark 1. It can be seen from ( 13) that when the system state is far away from the equilibrium point, the linear term y in (11) will accelerate the convergence rate of the system. When the system is close to the equilibrium point, the nonlinear term |y| β sgn(y) plays an important role in accelerating the convergence rate of the system.…”
Section: Adaptive Fast Supertwisting Algorithmmentioning
confidence: 99%
“…When the system is close to the equilibrium point, the nonlinear term |y| β sgn(y) plays an important role in accelerating the convergence rate of the system. erefore, compared with the traditional supertwisting algorithm, the improved adaptive supertwisting algorithm (11) has a faster convergence speed.…”
Section: Adaptive Fast Supertwisting Algorithmmentioning
confidence: 99%
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“…In this method, the extended state observer is used to estimate the target motion information, which improves the guidance performance and convergence speed. In [11], a fast-convergent nonsingular terminal sliding surface is presented. This method improves the performance of the adaptive exponential approach law.…”
Section: Introductionmentioning
confidence: 99%