2022
DOI: 10.1080/03081079.2022.2036139
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A nonlinear disturbance observer-based adaptive integral sliding mode control for missile guidance system

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Cited by 3 publications
(3 citation statements)
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“…To verify the performance of the proposed guidance laws, these guidance laws are compared with the SM guidance law in. 28 Thus, the obtained results from four different guidance laws are given in this article and these are SM, STWSM, ASTWSM, and AFSTWSM guidance law.…”
Section: Simulation and Analysismentioning
confidence: 99%
“…To verify the performance of the proposed guidance laws, these guidance laws are compared with the SM guidance law in. 28 Thus, the obtained results from four different guidance laws are given in this article and these are SM, STWSM, ASTWSM, and AFSTWSM guidance law.…”
Section: Simulation and Analysismentioning
confidence: 99%
“…Ji et al [7] presented a novel time-varying global sliding-mode control technique using a linear extended state observer to estimate the unknown target acceleration that could achieve maneuvering target interception with the desired impact angle. Authors of [8] proposed a composite threedimensional guidance law based on an adaptive integral sliding mode control and utilized a nonlinear disturbance observer to estimate and compensate for the disturbances caused by the target maneuver. Although it has been proven to be an advanced method for maneuvering targets during interception [9][10][11][12][13], ASMG still cannot deal with guidance problems with numerous and complex constraints.…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, many advanced control theories have been implemented in control system design, including robust control [7,8], adaptive control [9,10], linear quadratic regulation [11,12], sliding mode control [13,14] and intelligent control algorithm [15][16][17], etc. In [18], a robust adaptive neural network certainty equivalent controller for a quadrotor unmanned aerial vehicle was proposed.…”
Section: Introductionmentioning
confidence: 99%