Parallel and distributed computation: numerical methods
Parallel and distributed computation: numerical methods
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Control System Fundamentals
Digital Control of Dynamic Systems
Digital Control of Dynamic Systems
On task schedulability in real-time control systems
RTSS '96 Proceedings of the 17th IEEE Real-Time Systems Symposium
Impact of interference on multi-hop wireless network performance
Wireless Networks - Special issue: Selected papers from ACM MobiCom 2003
Passivity-Based Design of Wireless Networked Control Systems for Robustness to Time-Varying Delays
RTSS '08 Proceedings of the 2008 Real-Time Systems Symposium
Rate allocation for quantized control over noisy channels
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
An overview of wireless networks in control and monitoring
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Delay analysis and optimality of scheduling policies for multihop wireless networks
IEEE/ACM Transactions on Networking (TON)
Almost sure stability of networked control systems under exponentially bounded bursts of dropouts
Proceedings of the 14th international conference on Hybrid systems: computation and control
Networked control system wind tunnel (NCSWT): an evaluation tool for networked multi-agent systems
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
Near Optimal Rate Selection for Wireless Control Systems
RTAS '12 Proceedings of the 2012 IEEE 18th Real Time and Embedded Technology and Applications Symposium
Realistic case studies of wireless structural control
Proceedings of the ACM/IEEE 4th International Conference on Cyber-Physical Systems
| Hi-index | 0.00 |
Wireless Networked Control Systems (NCS) are increasingly deployed to monitor and control Cyber-Physical Systems (CPS). To achieve and maintain a desirable level of performance, NCS face significant challenges posed by the scarce wireless resource and network dynamics. In this paper, we consider NCS consisting of multiple physical plant and digital controller pairs communicating over a multi-hop wireless network. The control objective is that the plants follow the reference trajectories provided by the controllers. This paper presents a novel optimization formulation for minimizing the tracking error due to (1) discretization and (2) packet delay and loss. The optimization problem maximizes a utility function that characterizes the relationship between the sampling rate and the capability of disturbance rejection of the control system. The constraints come from the wireless network capacity and the delay requirement of the control system. The solution leads to a joint design of sampling rate adaptation and network scheduling, which can be naturally deployed over existing networking systems which have a layered architecture. Based on a passivity-based control framework, we show that the proposed cross-layer design can achieve both stability and performance optimality. Simulation studies conducted in an integrated simulation environment consisting of Matlab/Simulink and ns-2 demonstrate that our algorithm is able to provide agile and stable sampling rate adaptation and achieve optimal NCS performance.