Optimal control of aging in complex networks
arXiv:1910.10002 · doi:10.1073/pnas.2006375117
Abstract
Many complex systems experience damage accumulation which leads to aging, manifest as an increasing probability of system collapse with time. This naturally raises the question of how to maximize health and longevity in an aging system at minimal cost of maintenance and intervention. Here, we pose this question in the context of a simple interdependent network model of aging in complex systems, and use both optimal control theory and reinforcement learning alongside a combination of analysis and simulation to determine optimal maintenance protocols. These protocols may motivate the rational design of strategies for promoting longevity in aging complex systems with potential applications in therapeutic schedules and engineered system maintenance.
References in corpus (8)
- Emergence of scaling in random networks
- A model for cascading failures in complex networks
- Cascade control and defense in complex networks
- Nodal dynamics, not degree distributions, determine the structural controllability of complex networks
- Optimization of Network Robustness to Waves of Targeted and Random Attack
- Network model of human aging: frailty limits and information measures
- A dynamical network model for age-related health deficits and mortality
- Measuring and modeling interventions in aging