Adaptive tracking control of stochastic nonlinear systems with unknown powers

This paper investigates the adaptive tracking problem for a class of high-order stochastic nonlinear systems with unknown powers and nonlinear parameterization. By using the parameter separation technique and adding a power integrator design method, an adaptive controller with upper and lower bounds of the unknown powers is successfully designed to guarantee that all the states of the closed-loop system are bounded in probability and the tracking error can be regulated into a small neighborhood of the origin in probability. Finally, a simulation example is provided to illustrate the effectiveness of the designed controllers.

• Publication year

  2020

• Venue

  Chinese Control and Decision Conference

• Publication date

  2020-08-01

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  DOI 10.1109/ccdc49329.2020.9164098
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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