Multi-objective Control Allocation with Conflict Resolution

2012 ◽  
Author(s):  
R. Jamil ◽  
F. Salama ◽  
M. Lone ◽  
A. Savvaris ◽  
J. Whidborne
Keyword(s):  
Conflict Resolution ◽  
Control Allocation ◽  
Multi Objective ◽  
Objective Control

Hybrid multi-objective control allocation strategy for compound high-speed rotorcraft

2020 ◽  
Vol 98 ◽  
pp. 207-226 ◽  
Author(s):  
Fengying Zheng ◽  
Longwu Liu ◽  
Zhiming Chen ◽  
Yuehua Chen ◽  
Fengna Cheng
Keyword(s):  
High Speed ◽  
Control Allocation ◽  
Allocation Strategy ◽  
Multi Objective ◽  
Objective Control

scholarly journals Multi-objective control engineering benchmark

2020 ◽  
Vol 53 (2) ◽  
pp. 7927-7932
Author(s):  
Gilberto Reynoso-Meza ◽  
Jesús Carrillo-Ahumada ◽  
Victor Henrique Alves Ribeiro ◽  
Tyene Zoraski Zanella
Keyword(s):  
Control Engineering ◽  
Multi Objective ◽  
Objective Control

Urban Oversaturated Traffic Network Control Based on Preference Multi-Objective Compatible Optimization Control

2011 ◽  
Vol 317-319 ◽  
pp. 1373-1384 ◽  
Author(s):  
Juan Chen ◽  
Chang Liang Yuan
Keyword(s):  
Control Problem ◽  
Control Algorithm ◽  
Control Method ◽  
Network Control ◽  
Feasible Region ◽  
Traffic Network ◽  
Total Delay ◽  
Multi Objective ◽  
Optimization Control ◽  
Objective Control

To solve the traffic congestion control problem on oversaturated network, the total delay is classified into two parts: the feeding delay and the non-feeding delay, and the control problem is formulated as a conflicted multi-objective control problem. The simultaneous control of multiple objectives is different from single objective control in that there is no unique solution to multi-objective control problems(MOPs). Multi-objective control usually involves many conflicting and incompatible objectives, therefore, a set of optimal trade-off solutions known as the Pareto-optimal solutions is required. Based on this background, a modified compatible control algorithm(MOCC) hunting for suboptimal and feasible region as the control aim rather than precise optimal point is proposed in this paper to solve the conflicted oversaturated traffic network control problem. Since it is impossible to avoid the inaccurate system model and input disturbance, the controller of the proposed multi-objective compatible control strategy is designed based on feedback control structure. Besides, considering the difference between control problem and optimization problem, user's preference are incorporated into multi-objective compatible control algorithm to guide the search direction. The proposed preference based compatible optimization control algorithm(PMOCC) is used to solve the oversaturated traffic network control problem in a core area of eleven junctions under the simulation environment. It is proved that the proposed compatible optimization control algorithm can handle the oversaturated traffic network control problem effectively than the fixed time control method.

Sign in / Sign up

Export Citation Format

Share Document