This paper considers the problem of load frequency control using intelligent controllers.
Particularly, the problem of load scheduling is the most important since it directly affects the performance of the system.
This paper studies the problem of load balancing for conservative distributed simulations for execution on a multicomputer architecture.
Regarding load restoration in the last stage of network reconfiguration, Ref. [64] presents a combinatorial optimization model to address the sequencing problem of load pickup.
In this way, the assessment and verification of customer response can be improved by solving the problem of load aggregation with the help of integral transforms.
This paper describes the problem of load disturbance rejection using feedforward for the case when perfect compensation is not realizable due to processes delays inversion.
An interative procedure is proposed to sovle the indeterminate problem of load-sharing among journal bearings due to the introduction of thrust bearings.
This paper provides new formulations to derive the impulse response matrix, which is then used in the problem of load identification with application to wind induced vibration.
Load balanced, Adaptive Position Update (LAPU) routing protocol solves the problem of load distribution among paths in a network with reduced position updates occurring adaptively and next hop decisions based on node's congestion status in geographic routing.
With a certain transformation, the differential equation of motion is changed into an integral equation related to the dynamic loads, and the problem of load identification turns into solving a Volterra integral equation of the first kind.
The PID controller design is formulated as a convex optimization problem of load disturbance rejection with constraints on stability and non-fragility, which can be solved by using existing linear programming techniques.
