Auxiliary model multiinnovation stochastic gradient parameter estimation methods for nonlinear sandwich systems

By combining the coupling identification concept with the gradient search, this study develops a partially coupled generalised extended projection algorithm and a partially coupled generalised extended stochastic gradient algorithm to estimate the parameters of a multivariable output-error-like system with autoregressive moving average noise from input–output data The key is to divide the identification model into several submodels based on the hierarchical identification principle and to establish the parameter estimation algorithm by using the coupled relationship between these submodels The simulation test results indicate that the proposed algorithms are effective

https://ietresearch.onlinelibrary.wiley.com/doi/pdf/10.1049/iet-spr.2019.0481

Recursive coupled projection algorithms for multivariable output-error-like systems with coloured noises

This paper studies the problem of parameter estimation for the multifrequency sine signals, which have multiple characteristic parameters such as the amplitudes, phases, and frequencies. I...

Hierarchical recursive signal modeling for multifrequency signals based on discrete measured data

Maximum likelihood extended gradient‐based estimation algorithms for the input nonlinear controlled autoregressive moving average system with variable‐gain nonlinearity

Summary This article considers the parameter estimation for a fractional‐order nonlinear finite impulse response system with colored noise. For the fractional‐order systems, the challenge and diffi...

Iterative parameter and order identification for fractional-order nonlinear finite impulse response systems using the key term separation

Traffic offloading is considered to be a promising technology in the Unmanned Aerial Vehicles- (UAVs-) assisted cellular networks. Due to their selfishness property, UAVs may be reluctant to take part in traffic offloading without any incentive. Moreover, considering the dynamic position of UAVs and the dynamic condition of the transmission channel, it is challenging to design a long-term effective incentive mechanism for multi-UAV networks. In this work, the dynamic contract incentive approach is studied to attract UAVs to participate in traffic offloading effectively. The two-stage contract incentive method is introduced under the information symmetric scenario and the information asymmetric scenario. Considering the sufficient conditions and necessary conditions in the contract design, a sequence optimization algorithm is investigated to acquire the maximum expected utility of the base station. The simulation experiment shows that the designed two-stage dynamic contract improves the performance of traffic offloading effectively.

/pdf/dynamic-contract-incentives-mechanism-for-traffic-offloading-7yh1dxum2o.pdf

Fan Pengfei

Papers

Dynamic Contract Incentives Mechanism for Traffic Offloading in Multi-UAV Networks