The maximum principle for fully coupled forward-backward stochastic control system with state constraints;

An algorithm to solve the optimization problem of the switched system with the state constraints by the method of impulsive control was proposed.

Based on single Kalman filtering equations and the distributed multi-sensor fusion algorithm without state constraints, and taking state equality constraints into consideration,a new fusion estimation algorithm for distributed multi-sensor with state equality constraints is proposed.

A new method for optimizing dynamic system with state constraints is presented.

In this paper,a Lyapunov-based constrained predictive controller is proposed for a kind of nonlinear switched systems with uncertainty and constraints for the cases that the state constraints need to be enforced at all times(hard constraints)and they can be relaxed for some time(soft constraints).

The optimal control problems of hyperbolic H-hemivariational inequalities with the state constraints and nonnomotone multivalued mapping term are considered.

Testing study on expansive soil in different restrained conditions;

The paper investigates a multi-item ordering model of non-linear programming,which considers incremental quantity discounts with space constraint.

Through rob-based access control model(RBAC)and its extension study,put forward mandatory time and space constraints and role- based access control model(MSTEBAC)in the application of e-government system,this model introduce mandatery,time-bound,space constraint management methods based on the RBAC model,its security is maturity,authorization is flexible,actualization is simple.

The proposed algorithm is implemented by incorporating the MRF based spatial constraints as a regularization term to the objective function of the kernelized fuzzy C-means clustering(FCM).