Communication-protocol-based analysis and synthesis of networked systems: progress, prospects and challenges

Figures & data

Figure 1. A typical NS with two communication networks.

Figure 2. Organisation of this survey.

Table 1. The control and filtering methods for different systems with different noises.

	Systems
	Control problems
Noises	Linear time-invariant systems	Nonlinear systems	Uncertain systems	Time-varying systems	Multi-agent systems
Energy-bounded noises	${\mathcal{H}}_{\mathrm{\infty }}$ control, energy-to-peak control			finite-horizon ${\mathcal{H}}_{\mathrm{\infty }}$ control	${\mathcal{H}}_{\mathrm{\infty }}$ consensus control
Norm-bounded noises	ultimate-bounded control, $l_2$ control			ultimate-bounded control	bounded consensus control
Stochastic noises	LQG control, variance-constrained control			error-constrained control	mean-square consensus control
	Systems
	Filtering problems
Noises	Linear time-invariant systems	Nonlinear systems	Uncertain systems	Time-varying systems	Networked systems over sensor networks
Energy-bounded noises	${\mathcal{H}}_{\mathrm{\infty }}$ filtering, energy-to-peak filtering			finite-horizon ${\mathcal{H}}_{\mathrm{\infty }}$ filtering	distributed ${\mathcal{H}}_{\mathrm{\infty }}$ filtering
Norm-bounded noises	ultimate-bounded filtering, $l_2$ filtering			set-membership filtering	distributed ultimate-bounded filtering
Stochastic noises	variance-constrained filtering			recursive filtering	distributed recursive filtering