An observer-based compensator for distributed delays
Automatica (Journal of IFAC)
IEEE Spectrum
Stochastic analysis and control of real-time systems with random time delays
Automatica (Journal of IFAC)
Non-Linear Control for Underactuated Mechanical Systems
Non-Linear Control for Underactuated Mechanical Systems
Passivity and Passification for Networked Control Systems
SIAM Journal on Control and Optimization
A new delay system approach to network-based control
Automatica (Journal of IFAC)
Networked fault detection with random communication delays and packet losses
International Journal of Systems Science - Networked Control Systems and Wireless Sensor Networks - Theories and Applications
Design of a networked control system with random transmission delay and uncertain process parameters
International Journal of Systems Science - Networked Control Systems and Wireless Sensor Networks - Theories and Applications
A fault-tolerant control framework for a class of non-linear networked control systems
International Journal of Systems Science
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Brief On the model-based control of networked systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Network-based robust H∞ control of systems with uncertainty
Automatica (Journal of IFAC)
Brief Networked control design for linear systems
Automatica (Journal of IFAC)
Modeling of random delays in networked control systems
Journal of Control Science and Engineering
Output feedback delay compensation control for networked control systems with random delays
Information Sciences: an International Journal
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This article is concerned with the design of a networked predictive control (NPC) scheme with random network delay in the forward channel. A new design method of NPC is proposed. Correspondingly, the necessary and sufficient conditions on the stability of the closed-loop networked control system are derived. The merit of the proposed design method lies in its decreased conservativeness, which is achieved by packing the current predictive control signal with history predictive signals. By this means, the future plant input is known. Therefore, the state predictor can be designed such that its performance and stability will not be affected by the future input of the plant, while the existing design methods of NPC cannot do so. The proposed design method is shown to be much less conservative than the existing result through several examples.