Sensor-fault tolerant event-triggered distributed sliding-mode control for fractional-order nonlinear multi-agent systems via LMI analysis

This paper addresses the consensus tracking problem in nonlinear fractional-order multi-agent systems subject to sensor faults and limited communication. To address system efficiency, a dynamically triggered sliding mode control approach is developed that utilizes only faulty local output measurements and intermittent neighbor information. The system outputs are affected by unknown but bounded sensor faults, modeled as additive disturbances. To ensure robust performance under such faults, a Lyapunov based framework is constructed and sufficient stability conditions are derived using linear matrix inequalities. The proposed control protocol incorporates adaptive coupling weights and guarantees that all agents reach consensus while avoiding Zeno behavior. Numerical simulations demonstrate that the method achieves resilient consensus tracking and reduced communication load, even in the presence of measurement faults.