This paper presents a novel reconfigurable control method for an aircraft with potential actuator failures. A Variable Structure Model Reference Adaptive Control (VSMRAC) scheme is deployed to counteract the adverse effects when the actuator failure occurs. Combined with exponential reaching law, the convergence rate is improved and the chattering is reduced. This approach ensures that the refe...

Scope of the work is the decision of a high accuracy experimental data reception problem in medical, ecological and chemical data processing software. Using complex schemes of filtering improves reception of experimental data with high reliability. Approach of data acquisition about random parameter with a required degree of reliability is investigated. The approach is used for control of exper...

Data-based control design methods most often consist of iterative adjustment of the controller’s parameters towards the parameter values which minimize an H2 performance criterion. Typically, batches of input-output data collected from the system are used to feed directly a gradient descent optimization no process model is used. A limiting factor in the application of these methods is the lack ...

This paper presents adaptive add-on control algorithms for the conventional mode of operation of MEMS z-axis gyroscopes. This scheme is realized by adding an outer loop to a conventional force-balancing scheme that includes a parameter estimation algorithm. The parameter adaptation algorithm estimates the angular rate, identifies and compensates the quadrature error, and may permit on-line auto...

The speed tracking control problem of permanent magnet synchronous motors with parameter uncertainties and load torque disturbance is addressed. Fuzzy logic systems are used to approximate nonlinearities, and an adaptive backstepping technique is employed to construct controllers. The proposed controller guarantees the tracking error convergence to a small neighborhood of the origin and achieve...

In this paper we prove global convergence for asynchronous parallel pattern search. In standard pattern search, decisions regarding the update of the iterate and the step-length control parameter are synchronized implicitly across all search directions. We lose this feature in asynchronous parallel pattern search since the search along each direction proceeds semiautonomously. By bounding the v...

A new parameter estimation algorithm based on improved particle swarm optimizer is proposed to improve the precision and recall rate of conditional random fields model. Aggregation degree of particle swarm is utilized to control particle swarm optimizer’s early local convergence, the relative change ratio of log-likelihood between iterations is employed to end its iterations, and the inertia fa...