TY - GEN
T1 - Suboptimal control for time-varying systems with stochastic communication protocol
T2 - 23rd IEEE International Conference on Automation and Computing, ICAC 2017
AU - Yuan, Yuan
AU - Wang, Zidong
AU - Zhang, Peng
N1 - Publisher Copyright:
© 2017 Chinese Automation and Computing Society in the UK - CACSUK.
PY - 2017/10/23
Y1 - 2017/10/23
N2 - In this paper, the suboptimal control problem is addressed for a class of discrete time-varying systems subjected to the stochastic communication protocol (SCP). The measurements provided by the sensors are transmitted through the communication channel and then fed into the controller. The SCP is utilized to select the sensor getting access to the communication media. In presence of the nonlinearities, the accurate value of the cost function cannot be obtained. As an alternative, a certain upper bound of the cost function is employed to quantify the control performance. The main purpose of the addressed problem is to develop the time-varying control parameters such that the derived upper bound of the cost function can be minimized over the finite-horizon [0, N]. The algorithm to compute the control parameters is provided in terms of a set of backward coupled Riccati-like recursions. In the end, a numerical example is provided to verify the validity of the proposed design method.
AB - In this paper, the suboptimal control problem is addressed for a class of discrete time-varying systems subjected to the stochastic communication protocol (SCP). The measurements provided by the sensors are transmitted through the communication channel and then fed into the controller. The SCP is utilized to select the sensor getting access to the communication media. In presence of the nonlinearities, the accurate value of the cost function cannot be obtained. As an alternative, a certain upper bound of the cost function is employed to quantify the control performance. The main purpose of the addressed problem is to develop the time-varying control parameters such that the derived upper bound of the cost function can be minimized over the finite-horizon [0, N]. The algorithm to compute the control parameters is provided in terms of a set of backward coupled Riccati-like recursions. In the end, a numerical example is provided to verify the validity of the proposed design method.
KW - Riccati-like recursions
KW - Stochastic communication protocol
KW - Suboptimal control
KW - Time-varying system
UR - http://www.scopus.com/inward/record.url?scp=85040009610&partnerID=8YFLogxK
U2 - 10.23919/IConAC.2017.8082006
DO - 10.23919/IConAC.2017.8082006
M3 - 会议稿件
AN - SCOPUS:85040009610
T3 - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing
BT - ICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
A2 - Zhang, Jie
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 7 September 2017 through 8 September 2017
ER -