Dynamic surface control for a class of nonlinear systems

By S. Darbha, J. Karl Hedrick, P. Yip, J. Christian Gerdes. IEEE Transactions on Automatic Control, 2000

2,285 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/78ed4d813b898e7cf52fa731b7199b8e42b865c0

How researchers see this paper

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In Aerospace Engineering

1. Yong-ming Li
2. Shaocheng Tong
3. Tie-shan Li
4. Chenguang Yang
5. Zhouhua Peng
6. Dan Wang
7. Peng Shi
8. Fuchun Sun

In Control and Systems Engineering

1. Shaocheng Tong
2. Yong-ming Li
3. Mou Chen
4. Peng Shi
5. Shuzhi Sam Ge
6. Yanjun Liu
7. Tie-shan Li
8. Zhouhua Peng

Citations in the corpus

• Removing the Feasibility Conditions Imposed on Tracking Control Designs for State-Constrained Strict-Feedback Systems (2019, methodology): “in [22] proposed a dynamic surface control (DSC) technique to solve this problem by introducing a firstorder filtering of the synthesized virtual control law at each step of the backstepping design procedure.”
• Command filtered adaptive backstepping (2010, methodology): “Linear filters for derivative generation are considered in [7], [ 9 ].”
• Adaptive Dynamic Surface Control for Formations of Autonomous Surface Vehicles With Uncertain Dynamics (2013, methodology): “In this section, we present the leader-follower formation control algorithm based on NN-based DSC technique [27], [29].”
• Leader–Follower Formation Control of USVs With Prescribed Performance and Collision Avoidance (2019, methodology): “Based on the dynamic surface control (DSC) technique [27]–[29], the PPC methodology [21], adaptive control techniques [30]–[32], neural network (NN) approximators [33]– [37], the backstepping procedure, and the Lyapunov synthesis, we propose decentralized leader–follower formation control that guara”
• Adaptive Neural Control of Pure-Feedback Nonlinear Time-Delay Systems via Dynamic Surface Technique (2011, methodology): “The problem of “explosion of complexity” mentioned previously was overcome using dynamic surface control (DSC; see [20] and [40]–[44]).”
• Observer-Based Adaptive Backstepping Consensus Tracking Control for High-Order Nonlinear Semi-Strict-Feedback Multiagent Systems (2016, background): “Assumption 3 [45]–[47]: The minimum approximation errors εij(t) and the approximation errors δij(t) are bounded, i.”
• Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation (2015, methodology): “DSC was presented for a class of nonlinear systems in [34].”
• Adaptive Fuzzy Control via Observer Design for Uncertain Nonlinear Systems With Unmodeled Dynamics (2013, methodology): “Fortunately, the dynamic surface control (DSC) technique was developed in [41], [42] to avoid “explosion of complexity.”
• Platoon Formation Control With Prescribed Performance Guarantees for USVs (2018, methodology): “The control design is based on PPC methodology [15], DSC technique [26], [27], NN approximation [28], [29], disturbance observers [30]–[34], backstepping procedure, and Lyapunov synthesis.”