We derive direct data-driven dissipativity analysis methods for Linear Parameter-Varying (LPV) systems using a single sequence of input-scheduling-output data. By means of constructing a semi-definite program subject ...
详细信息
Designing data-driven controllers in the presence of noise is an important research problem, in particular when guarantees on stability, robustness, and constraint satisfaction are desired. In this paper, we propose a...
详细信息
ISBN:
(数字)9798350382655
ISBN:
(纸本)9798350382662
Designing data-driven controllers in the presence of noise is an important research problem, in particular when guarantees on stability, robustness, and constraint satisfaction are desired. In this paper, we propose a data-driven min-max model predictive control (MPC) scheme to design state-feedback controllers from noisy data for unknown linear time-invariant (LTI) system. The considered min-max problem minimizes the worst-case cost over the set of system matrices consistent with the data. We show that the resulting optimization problem can be reformulated as a semidefinite program (SDP). By solving the SDP, we obtain a state-feedback control law that stabilizes the closed-loop system and guarantees input and state constraint satisfaction. A numerical example demonstrates the validity of our theoretical results.
A discrete-time super twisting algorithm is extended such that the windup effect is avoided in the case of limitations in the amplitude of the actuating signal. This is achieved by proposing a so-called incremental ve...
详细信息
In the modern digital world, the use of animated applications has increased significantly and such applications have quietly become an integral part of life. Capturing human motions is a fundamental aspect of these ap...
详细信息
The paper introduces a long-term control management to design and verify the sleep-based power-on system by using a set of Xilinx SOC processing chips and external memory (Micron) DDR3, 4 bit PROM SPI FLASH, TF-CARD, ...
详细信息
The main objective of this paper is to propose a perspective and revise views on the origin and consequences of the phenomenon of asymmetry in the dynamics of pneumatic actuators. It is important to note that awarenes...
The main objective of this paper is to propose a perspective and revise views on the origin and consequences of the phenomenon of asymmetry in the dynamics of pneumatic actuators. It is important to note that awareness of this phenomenon is not widespread in either industry or academia. The paper identifies and presents a detailed analysis of the surprising dynamic properties of single-acting pneumatic actuators widely used in process control engineering. The analysis was carried out based on analytical, simulation and experimental studies. The practical result of the analysis is a set of rules and recommendations useful for process engineers, maintenance services and designers of automaticcontrolsystems. In this sense, the paper combines theory, experiment and practice.
Quadruped robots have gained much attention in recent years due to their potential ability to handle various kinds of terrain. To control the quadruped robots to perform tasks, high frequency (up to 400Hz) state estim...
详细信息
Data-driven control of nonlinear systems with rigorous guarantees is a challenging problem as it usually calls for nonconvex optimization and often requires the knowledge of the true basis functions of the unknown sys...
详细信息
Data-driven control of nonlinear systems with rigorous guarantees is a challenging problem as it usually calls for nonconvex optimization and often requires the knowledge of the true basis functions of the unknown system dynamics. To tackle these drawbacks, this work is based on a data-driven polynomial representation of general nonlinear systems exploiting Taylor polynomials. Thereby, we design state-feedback laws that render a known equilibrium globally asymptotically stable while operating with respect to a desired quadratic performance criterion. The calculation of the polynomial state feedback boils down to a sum-of-squares optimization problem, and hence to computationally tractable linear matrix inequalities. Moreover, we examine state-input data in presence of Gaussian noise by Bayesian inference to overcome the conservatism of deterministic noise characterizations from recent data-driven control approaches for Gaussian noise.
Insulated Gate Bipolar Transistor (IGBT) are widely used in electric vehi-cles, aerospace and other fields with high reliability requirements. This paper first analyzes its failure mechanism according to the internal ...
详细信息
In this paper, a GM(1, 1) polymorphic management prediction algorithm based on a dormant system is proposed, which first obtains the optimal data quantity m through simulation, and then the data used is forecasted onl...
详细信息
暂无评论