scholarly journals Quantized‐feedback hands‐off control for nonlinear systems

2021 ◽  
Author(s):  
Ankit Sachan ◽  
Xiaogang Xiong ◽  
Sandeep Kumar Soni ◽  
Shyam Kamal ◽  
Sandip Ghosh
Keyword(s):  
Nonlinear Systems ◽  
Quantized Feedback

scholarly journals Quantized-Feedback-Based Adaptive Event-Triggered Control of a Class of Uncertain Nonlinear Systems

Mathematics ◽  
2020 ◽  
Vol 8 (9) ◽  
pp. 1603
Author(s):  
Yun Ho Choi ◽  
Sung Jin Yoo
Keyword(s):  
Nonlinear Systems ◽  
Total Sample ◽  
Control Law ◽  
Continuous Control ◽  
State Variables ◽  
Event Time ◽  
Quantized Feedback ◽  
Event Triggering ◽  
Sample Data ◽  
Event Triggered

A quantized-feedback-based adaptive event-triggered tracking problem is investigated for strict-feedback nonlinear systems with unknown nonlinearities and external disturbances. All state variables are quantized through a uniform quantizer and the quantized states are only measurable for the control design. An approximation-based adaptive event-triggered control strategy using quantized states is presented. Compared with the existing recursive quantized feedback control results, the primary contributions of the proposed strategy are (1) to derive a quantized-states-based function approximation mechanism for compensating for unknown and unmatched nonlinearities and (2) to design a quantized-states-based event triggering law for the intermittent update of the control signal. A Lyapunov-based stability analysis is provided to conclude that closed-loop signals are uniformly ultimately bounded and there exists a minimum inter-event time for excluding Zeno behavior. In simulation results, it is shown that the proposed quantized-feedback-based event-triggered control law can be implemented with less than 10% of the total sample data of the existing quantized-feedback continuous control law.

Input-to-State Stabilization of Nonlinear Systems with Quantized Feedback

2008 ◽  
Vol 41 (2) ◽  
pp. 12480-12485 ◽  
Author(s):  
Tania Kameneva ◽  
Dragan Nešić
Keyword(s):  
Nonlinear Systems ◽  
Quantized Feedback

scholarly journals Hybrid Feedback Stabilization of Fuzzy Nonlinear Systems

2011 ◽  
Vol 2011 ◽  
pp. 1-7 ◽  
Author(s):  
Yingqi Zhang ◽  
Caixia Liu ◽  
Xiaowu Mu
Keyword(s):  
Nonlinear Systems ◽  
Control Strategy ◽  
Hybrid Control ◽  
The State ◽  
Feedback Stabilization ◽  
Quantized Feedback ◽  
The Family

This paper is concerned with the problem of stabilizing one family of fuzzy nonlinear systems by means of fuzzy quantized feedback. The hybrid control strategy originating in earlier work by Brockett and Liberzon(2000) and Liberzon (2003) relies on the possibility of making discrete online adjustments of quantizer parameters. We explore this method here for one class of fuzzy nonlinear systems with fuzzy quantizers affecting the state of the system. New results on the stabilization of the family of fuzzy nonlinear systems are obtained by choosing appropriately quantized strategies. Finally, an illustrative example is given to demonstrate the effectiveness of the proposed method.

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