Abstract
In this paper, a generalized model-reference scheduling (GMRS) scheme is proposed for a networked control system (NCS) with guaranteed performance control and medium access constraint (MAC). The GMRS presented reduces conservatism to some extent, and its performance is improved by adjusting the weighted gain. In addition, two cases of uncertainty existing in the system matrix and control matrix are considered. For the first case, a co-design of guaranteed performance control and the GMRS is studied for the NCS with and without zero-order hold mechanism. For the second case, the uncertainty induced from time delay is considered in the guaranteed performance control and the GMRS co-design. Finally, illustrative examples are given to demonstrate the effectiveness of the proposed co-design schemes.
Highlights
Different from the traditional control systems, where sensors, controllers, actuators, and plants are integrated, a networked control system (NCS) is a type of distributed control system where the elements are spatially decentralized through a network
We propose a generalized model-reference scheduling (GMRS) in this paper
We propose a GMRS scheduling scheme, and construct a co-design of the GMRS and guaranteed performance control
Summary
Different from the traditional control systems, where sensors, controllers, actuators, and plants are integrated, a NCS is a type of distributed control system where the elements are spatially decentralized through a network. Besides the above two methods, an active scheduling scheme is another effective bandwidth-saving approach It is initially introduced in solving MAC, where not all the data will be transmitted over the network due to the limited network access. A scheduling approach combing priority-based scheduling and the communication sequence, maximum error first and try once discard (MEF-TOD), is proposed in [20] It has been widely used in several fields since it was put forward, such as in wireless multi-hop networks [21], a quantization control system [22], stochastic networked control [23], an automotive electronic valve system [24], a state-saturated system [25], and the references therein.
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