Results 271 to 280 of about 4,368,274 (347)

Gain scheduling the LPV way

Proceedings of 35th IEEE Conference on Decision and Control, 2002
Some nonlinear control problems in industry are successfully solved using gain-scheduling, a method primarily based on intuition from control design for linear systems. Linear parameter varying system (LPV) theory, introduced by Shamma et al. (1992), can be used to simplify some of the interpolation and realization problems associated with conventional
A. Packard, M. Kantner
openaire   +1 more source

Adaptive identification as gain scheduling

Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301), 2002
We consider the Lyapunov approach to adaptive identification for systems with unknown time invariant parameter. We describe the adaptive identification problem as stability analysis for a linear parameter varying system, and then discuss the convergence of identification error and its convergence rate based on a parameter dependent Lyapunov function.
R. Watanabe, K. Uchida
openaire   +1 more source

Vehicle yaw stability control via H∞ gain scheduling

Mechanical systems and signal processing, 2018
Yaw stability control (YSC) is rather significant in a vehicle lateral motion, since it can considerably reduce casualties caused by vehicle instability.
Jinhua Zhang, Weichao Sun, Zhiguang Feng
semanticscholar   +1 more source

Interpolation methods for gain scheduling

Proceedings of the 37th IEEE Conference on Decision and Control (Cat. No.98CH36171), 2002
Synthesis of gain scheduled controllers often requires that a parameter-varying controller be generated from a finite set of linear time-invariant controllers. We propose interpolation methods for this task with the property that stability of the linearized closed-loop system is preserved for each fixed value of the scheduling parameter.
D.J. Stilwell, W.J. Rugh
openaire   +1 more source

Experimental Validation of a Torque-Controlled Variable Stiffness Actuator Tuned by Gain Scheduling

IEEE/ASME transactions on mechatronics, 2018
A variable stiffness actuator (VSA) is an inherently parameter-dependent system due to the controllable stiffness element. Within the torque-controlled framework, the VSA is distinguished from the classical series elastic actuator (SEA).
Lin Liu, S. Leonhardt, B. Misgeld
semanticscholar   +1 more source

Balancing Energy Consumption and Reputation Gain of UAV Scheduling in Edge Computing

IEEE Transactions on Cognitive Communications and Networking, 2020
Due to the extensive use of unmanned aerial vehicles (UAVs) in civil and military environment, effective deployment and scheduling of a swarm of UAVs are rising to be a challenging issue in edge computing.
Juan Zhang, Yulei Wu, G. Min, Fei Hao, Laizhong Cui   +4 more
semanticscholar   +1 more source

Genetic algorithm based gain scheduling

Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600), 2003
We designed a feedforward control law that greatly decreases the load sway of a shipboard crane due to ship rolling. This feedforward control uses measurements of ship rolling angle at each instant. At different operating points the optimal feedforward gain changes while is numerically computable.
B. Kimiaghalam, A. Homaifar, M. Bikdash, B. Sayyarrodsari   +3 more
openaire   +1 more source

Fuzzy gain scheduling PID control of a hybrid robot based on dynamic characteristics

Mechanism and Machine Theory, 2023
Jiale Han, X. Shan, Haitao Liu, Juliang Xiao, Tian Huang   +4 more
semanticscholar   +1 more source

Background on Gain-Scheduling

2017
After World War II, the development of advanced jet aircrafts, the advent of guided missiles and the need of stability and performance requirements for a wide set of operating conditions pushed towards a rapid adoption of gain scheduled autopilot systems [1].
openaire   +1 more source

Gain Scheduling and Adaptation

2011
This chapter introduces gain-scheduling and linear-parameter-varying techniques to address plant variability across the flight envelope. This chapter also introduces the concept of adaptive control and presents a basic model-reference adaptive control design.
openaire   +1 more source