Attitude stabilization of rigid spacecraft with finite‐time convergence

By Zhenglong Zhu, Yuanqing Xia, M. Fu. 2011

947 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/fe18dd34bc4515482cddbd8f51bc3feb86841afa

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Yong-ming Li
2. Shaocheng Tong
3. Xu Jin
4. Chong Lin
5. Michael I. Friswell
6. Qinglei Hu
7. Boyan Jiang
8. Bing Chen

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Yanjun Liu
4. Lei Liu
5. Bing Chen
6. Chong Lin
7. Xiaoping Liu
8. Xu Jin

Citations in the corpus

• Adaptive Fixed-Time Control for MIMO Nonlinear Systems With Asymmetric Output Constraints Using Universal Barrier Functions (2019, background): “Lemma 2 (see [36]): For any real numbers x1 , .”
• Adaptive Neural Network Finite-Time Output Feedback Control of Quantized Nonlinear Systems (2018, methodology): “Based on neural network (NN) approximation and the designed observer, a novel adaptive neural output feedback control scheme will be proposed without the essential assumption for nonlinear function fm(x̄m) in [18]–[29].”
• Adaptive Fuzzy Practical Fixed-Time Tracking Control of Nonlinear Systems (2021, background): “Lemma 1 (see [10], [14], and [15]): Let V ( x ) be a smooth function with V ( x ) ≥ 0 .”
• Adaptive Neural Networks Finite-Time Optimal Control for a Class of Nonlinear Systems (2019, background): “Lemma 1 [22], [39], [40]: Consider the following nonlinear system: χ̇ = f (χ), f (0) = 0, χ ∈ R .”
• Fixed-Time Attitude Control for Rigid Spacecraft With Actuator Saturation and Faults (2016, methodology): “Lemma 1 [15], [16]: Consider the nonlinear system in (3).”
• Neural Networks-Based Adaptive Finite-Time Fault-Tolerant Control for a Class of Strict-Feedback Switched Nonlinear Systems (2019, background): “Definition 1 [63]: Consider the nonlinear system ẋ = f (x, u), where x is the state vector, u is the input vector.”
• Finite-Time Adaptive Fuzzy Tracking Control Design for Nonlinear Systems (2018, background): “Preliminaries Definition 1 (see[35]): The equilibrium ζ = 0 of nonlinear system ζ̇ = f(ζ) is semi-global practical finite-time stable (SGPFS) if for all ζ(t0) = ζ0 , there exists ε > 0 and a settling time T (ε, ζ0) < ∞ to make ‖ζ(t)‖ < ε, for all t ≥ t0 + T .”