Data-driven robust receding horizon fault estimation
نویسندگان
چکیده
منابع مشابه
Data-Driven Robust Receding Horizon Fault Estimation
This paper presents a data-driven receding horizon fault estimation method for additive actuator and sensor faults in unknown linear time-invariant systems, with enhanced robustness to stochastic identification errors. State-of-the-art methods construct fault estimators with identified state-space models or Markov parameters, but they do not compensate for identification errors. Motivated by th...
متن کاملA Comparison of Robust and Stochastic Receding Horizon Control
In this thesis we study receding horizon control strategies for stochastic discrete-time linear systems with additive noise. This study is divided into two parts: First, we compare the performance of different receding horizon control techniques under constrained and unconstrained control input settings for some representative systems. It appears from our simulations that while in an unconstrai...
متن کاملRobust Constrained Receding Horizon Control for Trajectory Planning
This paper presents a receding horizon controller (RHC) that can be used to design trajectories for an aerial vehicle operating in an environment with disturbances. Various constraints are imposed in the problem, such as turning rate limits and bounds on the vehicle speed, and target regions and no-fly zones are included in the environment. The proposed algorithm modifies these constraints to e...
متن کاملTrajectory Planning for Unmanned Vehicles using Robust Receding Horizon Control
This thesis presents several trajectory optimization algorithms for a team of cooperating unmanned vehicles operating in an uncertain and dynamic environment. The first, designed for a single vehicle, is the Robust Safe But Knowledgeable (RSBK) algorithm, which combines several previously published approaches to recover the main advantages of each. This includes a sophisticated cost-to-go funct...
متن کاملReceding Horizon Networked Control
This paper deals with the design of control systems over lossy networks. A network is assumed to exist between the sensor and the controller and between the latter and the actuator. Packets are dropped according to a Bernoulli independent process, with γ and μ being the probabilities of losing an observation packet and a control packet respectively, at time any instant t. A receding horizon con...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Automatica
سال: 2016
ISSN: 0005-1098
DOI: 10.1016/j.automatica.2016.04.020