Recovery of Aircraft Motion Parameters Using the Optimal Control Algorithms

Korsun, O. N.; Stulovsky, A. V.

doi:10.1134/s1064230723010057

Cited by 5 publications

(1 citation statement)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this problem, the mathematical model of the object [8] is formed by expressions relating overloads to accelerations in the body-fixed coordinate system 𝑎𝑎 𝑥𝑥 = 𝑔𝑔(𝑛𝑛 𝑥𝑥 − 𝑠𝑠𝑠𝑠𝑛𝑛𝑠𝑠), 𝑎𝑎 𝑦𝑦 = 𝑔𝑔(𝑛𝑛 𝑦𝑦 − 𝑐𝑐𝑐𝑐𝑠𝑠𝑠𝑠𝑐𝑐𝑐𝑐𝑠𝑠𝑐𝑐),…”

Section: Mathematical Modelmentioning

confidence: 99%

Algorithms for Selection and Combination of Sliding Intervals for Identification Based on Large Volumes of Flight Data

Korsun,

Stulovsky,

Pravidlo

2023

E3S Web Conf.

View full text Add to dashboard Cite

This article considers approaches to processing large volumes of flight data using parametric identification methods. The problem is studied from the point of view of selecting informative areas based on a preliminary assessment of identification errors. The paper offers algorithms for combining estimates of pro-cessing intervals for the problem of signal recovery while ensuring its continuity. Their performance is presented by the processing of data obtained at a simulation bench.

show abstract

Section: Mathematical Modelmentioning

confidence: 99%

Algorithms for Selection and Combination of Sliding Intervals for Identification Based on Large Volumes of Flight Data

Korsun,

Stulovsky,

Pravidlo

2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

Adaptive event‐triggered control and observer design for discrete‐time nonlinear Markov jump systems with DoS attacks using policy iteration‐based adaptive dynamic programming

Lu,

Xing,

Zhou

2024

Optim Control Appl Methods

View full text Add to dashboard Cite

This article addresses adaptive event‐triggered discrete‐time nonlinear Markov jump systems (MJs) with DoS attacks, where the introduced DoS attacks are considered as more general stochastic models with fixed trigger frequency and duration. To solve the optimal control problem, we use an adaptive dynamic programming (ADP) algorithm based on policy iteration (PI). The approximate process is as follows: the performance index function (PIF) is first updated by the iteration policy in advance, and the control policy is obtained from the PIF. Subsequently, an approximate estimation of the optimal PIF and the optimal control policy is made using the actor‐critic structure obtained through neural network techniques. In order to reduce the occupied communication resources required for control policy iteration, we introduce an adaptive event triggering mechanism with an adaptive triggering threshold, which reduces the conservatism of resource occupation by the PIF compared to the fixed‐threshold ETM. In addition, an observer identifying the unknown dynamics part of the system is designed. Finally, using the Lyapunov function, it is shown that the designed control policy ensures the stability and convergence of the MJS, and the designed observer is effective. Simulation examples are given to verify the feasibility of the controller and the observer.

show abstract

Estimation of the Angular Position of an Aerial Vehicle Based on Measurements of the Parameters of Its Linear Motion

Korsun,

Stulovsky

2023

J. Comput. Syst. Sci. Int.

View full text Add to dashboard Cite

Recovery of Aircraft Motion Parameters Using the Optimal Control Algorithms

Cited by 5 publications

References 7 publications

Algorithms for Selection and Combination of Sliding Intervals for Identification Based on Large Volumes of Flight Data

Algorithms for Selection and Combination of Sliding Intervals for Identification Based on Large Volumes of Flight Data

Adaptive event‐triggered control and observer design for discrete‐time nonlinear Markov jump systems with DoS attacks using policy iteration‐based adaptive dynamic programming

Estimation of the Angular Position of an Aerial Vehicle Based on Measurements of the Parameters of Its Linear Motion

Contact Info

Product

Resources

About