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State Dependent Disturbance Compensation Method for Motor Control Systems with Unknown Input Time Delay |
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junmin Park(postech, Korea, Republic of ), Daesung Jung(Samsung Electronics, Korea, Republic of ), Wookyong Kwon, Soohee Han, Sangchul Won(postech, Korea, Republic of ) |
This paper proposes a periodic adaptive state dependent disturbance observer (PASDDOB) for motor control
with the unknown input time delay, known output time delay and unknown phase delay from Q-filter to compensate
the state dependent disturbance (SDD) that changes slowly by time. The PASDDOB has a structure that combines the
state dependent disturbance observer (SDDOB) with the periodic adaptive learning compensation (PALC).The PASDDOB can compensate the SDD. The effectiveness of the
proposed state dependent disturbance compensation method is demonstrated using MATLAB simulation results.lilly cialis coupons open free discount prescription cards prescription discounts cards read coupons for cialis 2016 |
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A New Adaptive Sliding Mode Control Scheme |
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Jaemin Baek(POSTECH, Korea, Republic of ) |
This paper presents a new adaptive sliding mode control (ASMC)
scheme using time-delay estimation (TDE) technique and then
applies it to robot manipulators. The proposed ASMC employs a new
adaptive law to achieve good tracking performance with small
chattering effect. The new adaptive law provides remarkably fast
adaptation and chattering reduction near the sliding manifold. The proposed ASMC scheme works together with a pole placement control and a TDE module. It is shown that the proposed ASMC is guaranteed to be uniformly ultimately bounded with arbitrarily small bound.cialis discount coupons go cialis price check |
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A Robust Extended Kalman Filtering with Linearization Error |
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Bokyu Kwon(Kangwon National University, Korea, Republic of ), Soohee Han(Postech, Korea, Republic of ) |
In this paper, we propose a new robust design of the extended Kalman filter(EKF) for nonlinear state estimation problems. In order to give the robustness to the conventional EKF, we consider the linearization error instead of neglecting the nonlinear higher order terms. The linearization errors are represented as a linear function of estimation error and is treated as model uncertainty in linear model. Additionally, we propose the systematic technique for predicting the linearization errors by using the current estimated state and one step ahead one.type 2 diabetes signs diabetes treatment cialis discount coupons go cialis price check cialis discount coupons go cialis price check pet prescription discount card open prescription drug coupons prescription discounts cards drug coupons coupons for cialis 2016 |
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Delay-dependent Stability Analysis of Time-delay Systems by Utilizing A New Integral Inequality and Delay-decomposition Approach |
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Haiyang Zhang(Yunnan Minzu University, China), Lianglin Xiong(Yunnan University, China) |
This article addressed the problem of delay-dependent stability of the time-delay systems.Firstly,we proposed a new inequality based on the Fourier Theory,which is proved to encompass the Jensens inequality.Secondly,a less conservative stability condition is established in terms of LMIs by employing delay-partition idea and Lyapunov functional method.Finally,in order to illustrate the potential gain of employing this new inequality with respect to the Jensens one and the effectiveness of the proposed results,an application to time-delay analysis is provided.lilly cialis coupons click free discount prescription cards prescription drugs coupon eblogin.com cialis coupons 2015 prescription discounts cards drug coupons coupons for cialis 2016 ciprofloxacin go cipromed |
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Unfalsified Adaptive Controller Design for Pilot-Aircraft System |
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Wei Liming, Fu Shan, Huang Dan(Shanghai Jiao Tong University, China) |
The pilot model concerning human factors introduced non-linear and time delay into the pilot-aircraft system.
Unfalsified adaptive control (UAC), which is one kind of data-driven control, uses input and output data only. In UAC,
supervisor is designed for selecting the best controller and controller switching algorithm is executed when necessary. In
this paper, unfalsified adaptive PI controller, with linearly increasing cost level algorithm is used for the system.
Monte Carlo simulation is taken at the end of the paper. The result shows the designed controller increase the flight
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