Adaptive Control of a Flexible Crane System With the Boundary Output Constraint

By Wei He, Shuang Zhang, Shuzhi Sam Ge. IEEE transactions on industrial electronics (1982. Print), 2014

483 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/dd1755ad6199fed878ba6c4500a9ed3095ef951b

How researchers see this paper

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

In Control and Systems Engineering

1. Wei He
2. Shaocheng Tong
3. Yanjun Liu
4. Mou Chen
5. Hongyi Li
6. Changyin Sun
7. Chun Lung Philip Chen
8. Yiting Dong

Citations in the corpus

• Neural Networks-Based Adaptive Control for Nonlinear State Constrained Systems With Input Delay (2019, methodology): “As the main factor of limiting the system performance, constraints often appear in the real industrial process unavoidably, such as nonuniform gantry crane [22], flexible crane systems [23], chemical systems [24], and robotic manipulator [25].”
• Neural Network Control-Based Adaptive Learning Design for Nonlinear Systems With Full-State Constraints (2016, unknown): “Two practical applications were proposed for some real plants with the output constraint [9] and the state constraints [10].”
• Vibration Control of a Flexible Beam With Output Constraint (2015, unknown): “2400427 cables for positioning the payload [5].”
• Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer (2015, methodology): “In the nonlinear control system design, the robust adaptive backstepping as an efficient control method has been extensively studied [33]–[41].”
• Adaptive Neural Impedance Control of a Robotic Manipulator With Input Saturation (2016, background): “where Dk > 0, Ck > 0, Gk > 0, and σi is a small positive constant for improving the robustness [51].”
• Adaptive Neural Network Control of an Uncertain Robot With Full-State Constraints (2016, background): “However, most of exciting papers considered the nonlinear system without constraints [37], [38], nonlinear system with output constraints [39], [40], flexible systems with output constraints [41]–[43], or the dynamics of the nonlinear system is represented by a single-input and single-output (SISO) ”
• Adaptive Fault-Tolerant Control of Uncertain Nonlinear Large-Scale Systems With Unknown Dead Zone (2016, background): “During the last decades, various backstepping control schemes have been developed [44]–[49].”
• Adaptive Fuzzy Control for Nonstrict-Feedback Systems With Input Saturation and Output Constraint (2017, background): “[52] discussed the adaptive control problem for a flexible crane system by taking output constraint into account in design process.”
• Adaptive Sliding Mode Control for Interval Type-2 Fuzzy Systems (2016, background): “INTRODUCTION IT IS well known that fuzzy logic control and neural control approaches can model and control nonlinear systems successfully [1], [10].”