Decentralized observer-based controller design for large-scale systems with quantized measurements and actuator faults

This paper is focused on designing observer-based decentralized memory feedback controller for ensuring the asymptotic mean square stability of the large-scale systems with minimum H_∞ performance index. Precisely, the unknown interconnection between each subsystems of a large-scale system is assumed to satisfy quadratic bounds, and measured output is quantized by a logarithmic quantizer. Also, the signals are transmitted through the actuator component wherein the occurrence of fault is indispensable. Thus, the impact of faults in actuator is considered in control design to tolerate the fault effects and also for ensuring robust performance. A state space representation of the system is formulated to reconstruct the unmeasurable states via the available informations of input/output dynamics. Based on the designed observer, a decentralized memory feedback controller is developed. Specifically, in terms of linear matrix inequalities, the stability conditions are derived and which are sufficient to guarantee the desired result. At last, simulations are carried out for two numerical examples to validate the potential of the theoretical result.     

Screening Maize Hybrids for Silicon Efficiency to Improve the Growth and Yield on Silicon Deficient Soils

Silicon - Silicon is a metalloid that hardly finds a place among the nutritional elixir required for plants. However, in recent times, silicon fertilizers have been gaining popularity for their...     

Material Dependent Efficiency Optimization of Silicon Heterojunction Photovoltaic Device using AlZnO and MgZnO Sandwich Layers

Silicon - Efficiency optimization of the photovoltaic devices is based on the device structure and the materials used in the device which has the ability to absorb the maximum light incident on the...     

The effect of lubricant additives on friction and wear studies of polyphenylene sulphide

Polyphenylene sulphide is a polymer with good thermal stability and high crystallinity. This paper summarizes the results of friction and wear studies of polyphenylene sulphide and its composites made with conventional solid lubricants to ascertain the suitability of the material as a matrix for solid lubricant additives. The polymer itself has a high coefficient of friction. Wear rate increases with load and speed. Addition of solid lubricant additives helps in improving the friction and wear of the polymer. Composites with MoS₂-Sb₂O₃ and PTFE gave better results than composites made by the addition of graphite and MoS₂ graphite. Wear rate of these composites increased with load and speed; but load and speed had little effect on friction.