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To solve the level-adjusting and force-tuning problems of high accurate and costly payloads when loading and unloading, a cable-driven auto-leveling parallel robot is developed. A hierarchical fuzzy controller, which has the ability to deal with the rule explosion problem, is proposed in this paper. After a brief introduction of the architecture of the closed-loop control system for the cable-driven...
The translational oscillations with a rotational proof-mass actuator (TORA) is a well-known benchmark for examining the advantages and limitations of different nonlinear control design techniques. In this paper, a single-input-rule-modules (SIRMs) based type-2 fuzzy logic control scheme is proposed for this nonlinear multivariable system. And, genetic algorithms (GAs) are adopted to determine the...
The prior knowledge-monotonicity property-is helpful for system analysis, modeling and design, especially when no specific physical structure knowledge about systems is available. This paper presents how to use interval type-2 fuzzy logic systems (IT2FLSs) to incorporate the monotonicity property into system design. First, we present sufficient conditions on the parameters of IT2FLSs to ensure the...
This paper aims to efficiently deal with the problems of multiple ramps metering. A new method which is called neuro-fuzzy adaptive dynamic programming with eligibility traces (NFADP(lambda)) is proposed. With the introduction of neuro-fuzzy and eligibility traces, the performance of ADP is greatly enhanced. First of all, the expert experience is introduced to ADP, therefore the convergence of ADP...
To reduce the computational burden of the type reduction block of interval type-2 fuzzy logic systems (IT2FLSs), this paper presents an efficient interval-analysis based type-reduction method to replace the most widely used center-of-sets (COS) type-reduction method which utilizes the iterative Karnik-Mendel algorithm. The relationships between the proposed type-reduction method and the COS type-reduction...
This paper proposes a fuzzy logic signal controller with adaptive dynamic programming optimizing for traffic intersection. Because fuzzy logic has a clear advantage that it is able to use expert knowledge well, we adopt it in our controller. As adaptive dynamic programming is an advanced technology which is suitable for solving non-linear stochastic system optimizing problems, we use it to optimize...
In this paper, an interval type-2 fuzzy neural network controller (IT2FNNC) is proposed. This new controller can combine the merits of neural network and type-2 fuzzy logic controller (T2FLC) which has been shown to be a powerful paradigm to handle the high level of uncertainties in real-world applications. To tune the parameters of IT2FNNC, the update rule is developed based on the backpropagation...
A new fuzzy control design for way-point tracking control problem of ship autopilot is proposed. To effectively control ships in a designed trajectory is always an important task for ship manipulators. The paper gives the design method of a kind of fuzzy autopilot for way-point tracking control system. The fuzzy control rules are constructed based on human operator's manipulating experience. This...
Compared with human beings, autopilots have advantages in controlling ships in higher precision. However, due to disturbances caused by sea wind, wave, flow and some other uncertainties such as variance of ship physical parameters, how to control autopilots properly is a very difficult problem. An autopilot based on fuzzy logic and genetic algorithm is designed to make a ship follow "virtual...
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