Design of a completely model free adaptive control in the presence of parametric, non-parametric uncertainties and random control signal delay
In this paper, an adaptive controller is developed for discrete time linear systems that takes
into account parametric uncertainty, internal-external non-parametric random uncertainties …
into account parametric uncertainty, internal-external non-parametric random uncertainties …
Learning to balance an NAO robot using reinforcement learning with symbolic inverse kinematic
O Tutsoy, D Erol Barkana… - Transactions of the …, 2017 - journals.sagepub.com
An autonomous humanoid robot (HR) with learning and control algorithms is able to balance
itself during sitting down, standing up, walking and running operations, as humans do. In this …
itself during sitting down, standing up, walking and running operations, as humans do. In this …
Adaptive estimator design for unstable output error systems: A test problem and traditional system identification based analysis
A key open question in adaptive estimator design is how to assure that the parameters of the
proposed algorithms are converging to their almost correct solutions; hence, the learning …
proposed algorithms are converging to their almost correct solutions; hence, the learning …
Adaptive predictive control of periodic non‐linear auto‐regressive moving average systems using nearest‐neighbour compensation
Many practical non‐linear systems can be described by non‐linear auto‐regressive moving
average (NARMA) system models, whose stabilisation problem is challenging in the …
average (NARMA) system models, whose stabilisation problem is challenging in the …
Sinusoidal synthesis based adaptive tracking for rotating machinery fault detection
G Li, GL McDonald, Q Zhao - Mechanical Systems and Signal Processing, 2017 - Elsevier
This paper presents a novel Sinusoidal Synthesis Based Adaptive Tracking (SSBAT)
technique for vibration-based rotating machinery fault detection. The proposed SSBAT …
technique for vibration-based rotating machinery fault detection. The proposed SSBAT …
Interval Kalman filter based RFID indoor positioning
Radio Frequency Identification (RFID) technology has shown its potential in the field of
indoor positioning in recent years, and has been widely used in large establishments such …
indoor positioning in recent years, and has been widely used in large establishments such …
Decentralized adaptive control of discrete-time multi-agent systems
In this chapter, we report some work on decentralized adaptive control of discrete-time multi-
agent systems. Multi-agent systems, one important class of models of the so-called complex …
agent systems. Multi-agent systems, one important class of models of the so-called complex …
Adaptive tracking with one-step-guess estimator and its variants
H Ma, L Rong, M Wang, M Fu - Proceedings of the 30th …, 2011 - ieeexplore.ieee.org
Following our previous paper on an extremely simple yet long-term ignored one-step-guess
(OSG) estimator, which focuses on the adaptive regulation problem of a class of the scalar …
(OSG) estimator, which focuses on the adaptive regulation problem of a class of the scalar …
Particle filter based simultaneous localization and mapping using landmarks with RPLidar
Simultaneous localization and mapping (SLAM) is one active research area in robotics.
SLAM using only landmarks is an efficient method without relying on dead reckoning (DR) or …
SLAM using only landmarks is an efficient method without relying on dead reckoning (DR) or …
Decentralized adaptive control for a class of semi-parametric uncertain multi-agent systems
Decentralized adaptive control for a discrete-time multi-agent semi-parametric uncertain
dynamical system, where each agent is coupled with other agents in both parametric and …
dynamical system, where each agent is coupled with other agents in both parametric and …