Adaptive fuzzy dynamic surface control for uncertain discrete-time non-linear pure-feedback MIMO systems with network-induced time-delay based on state observer

ABSTRACT

In this paper, a state observer-based adaptive fuzzy dynamic surface control is developed for uncertain discrete-time non-linear pure-feedback multiple-input-multiple-output (MIMO) systems with network-induced time-delay. The uncertainties are approximated by a set of adaptive fuzzy logic systems, with the adjusted parameters updated by a simplified recursive least squares estimation algorithm, combined with a state observer. For a constant known network-induced time-delay, the proposed modified dynamic surface control utilising the predicted system states, expands the acceptable network-induced time-delay and stable operating range for a discrete-time non-linear pure-feedback MIMO system in the network. The simulation results indicate that the presented method is effective.

KEYWORDS:

• Adaptive fuzzy dynamic surface control
• uncertain discrete non-linear MIMO system
• network-induced time-delay
• state observer
• recursive least squares estimation

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

China Scholarship Council [grant number 201606290184].