6533b858fe1ef96bd12b6bec
RESEARCH PRODUCT
Adaptive Backstepping Control of Uncertain Nonlinear Systems With Input and State Quantization
Changyun WenJiang LongJing ZhouWei Wangsubject
Quantization (physics)Nonlinear systemControl and Systems EngineeringControl theoryComputer scienceBounded functionBacksteppingUniform boundednessState (functional analysis)Electrical and Electronic EngineeringTelecommunications networkSignalComputer Science Applicationsdescription
Though it is common in network control systems that the sensor and control signals are transmitted via a common communication network, no result is available in investigating the stabilization problem for uncertain nonlinear systems with both input and state quantization. The issue is solved in this paper, by presenting an adaptive backstepping based control algorithm for the systems with sector bounded input and state quantizers. In addition to overcome the difficulty to proceed recursive design of virtual controls with quantized states, the relation between the input signal and error state need be well established to handle the effects due to quantization. It is shown that all closed-loop signals are ensured uniformly bounded and all states will converge to a compact set. Simulation results are provided to validate the effectiveness of the proposed control scheme.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2022-12-01 | IEEE Transactions on Automatic Control |