Random access

Statistics

Algorithm

Machine learning

Physics

Mathematical optimization

Channel (broadcasting)

Artificial intelligence

Nonlinear system

Estimator

Scheduling (production processes)

Wireless sensor network

Control (management)

Computer network

Mathematics

Computer science

Control theory (sociology)

Correctness

Quantum mechanics

Real-time computing

Markov chain

IEEE Transactions on Systems Man and Cybernetics Systems

This work is concerned with the moving horizon (MH) estimation issue for a type of networked nonlinear systems (NNSs) with the so-called random access (RA) protocol scheduling effects.To handle the signal transmissions between sensor nodes and the MH estimator, a constrained communication channel is employed whose channel constraints implies that, at each time instant, only one sensor node is permitted to access the communication channel and then send its measurement data.The RA protocol, whose scheduling behavior is characterized by a discrete-time Markov chain (DTMC), is utilized to orchestrate the access sequence of sensor nodes.By extending the robust MH estimation method, a novel nonlinear MH estimation scheme and the corresponding approximate MH estimation scheme are developed to cope with the state estimation task.Subsequently, some sufficient conditions are established to guarantee that the estimation error is exponentially ultimately bounded in mean square.Based on that, the main results are further specialized to linear systems with the RA protocol scheduling.Finally, two numerical examples and the corresponding figures are provided to verify the effectiveness/correctness of the developed MH estimation scheme and approximate MH estimation scheme.

Moving Horizon Estimation of Networked Nonlinear Systems With Random Access Protocol