This paper considers the problem of designing a robust descriptor observer for simultaneous state and sensor faults estimation of continuous-time switched linear systems in the presence of unknown external disturbance...
详细信息
The present paper aims to design an integrated state/fault estimation and fault tolerant control issues for switched systems affected by actuator fault and external disturbances. A switched adaptive state/fault estima...
详细信息
The machining of Carbon Fiber Reinforced Polymers (CFRP) presents substantial challenges in preserving surface integrity due to the material's pronounced anisotropy, high stiffness, and low thermal conductivity. T...
详细信息
controlsystems are essential to support the use of building structures as short-term thermal energy storage (TES). Due to modeling and forecast imperfections, the controller must be able to deal with uncertainties. T...
详细信息
controlsystems are essential to support the use of building structures as short-term thermal energy storage (TES). Due to modeling and forecast imperfections, the controller must be able to deal with uncertainties. This paper proposes a robust model predictive controller (MPC) with a new uncertainty set construction technique to regulate the heat supply in a building envelope. We extend the Support Vector Clustering-based set construction technique to estimate modeling and forecast uncertainty sets. Subsequently, we integrate the sets into a Min-Max MPC framework to ensure robust feasibility by tightening the constraints. The resulting controller successfully deals with modeling and forecast uncertainties. The quality of the presented framework is compared with a nominal MPC and a robust MPC with different uncertainty set estimates. On the basis of a numerical simulation, we demonstrate that the proposed controller successfully maintains the room temperature within the comfort limits. The result also shows that our MPC is less conservative than the controller designed using a box-shaped non-falsifed parametric uncertainty set.
Steelmaking industry faces urgent demands for both steel slag utilization and CO_(2)*** and Mg of steel slag can be extracted by acid solution and used to prepare sorbents for CO_(2)*** this work,the calcium-based sor...
详细信息
Steelmaking industry faces urgent demands for both steel slag utilization and CO_(2)*** and Mg of steel slag can be extracted by acid solution and used to prepare sorbents for CO_(2)*** this work,the calcium-based sorbents were prepared from stainless steel slag leachate by co-precipitation,and the initial CO_(2)chemisorption capacity of the calcium-based sorbent prepared from steel slag with the Ca and Mg molar ratio of 3.64:1 was 0.40 g/***,the effect of Ca/Mg molar ratio on the morphology,structure,and CO_(2)chemisorption capacity of the calcium-based sorbents were *** results show that the optimal Ca/Mg molar ratio of sorbent for CO_(2)capture was4.2:1,and the skeleton support effect of MgO in calcium-based sorbents was ***,the chemisorption kinetics of the sorbents was studied using the Avrami-Erofeev *** were two processes of CO_(2)chemisorption,and the activation energy of the first stage(reaction control)was found to be lower than that of the second stage(diffusion control).
Classical stochastic model predictive control (SMPC) methods assume that the true probability distribution of uncertainties in controlled systems is provided in advance. However, in real-world systems, only partial di...
详细信息
Classical stochastic model predictive control (SMPC) methods assume that the true probability distribution of uncertainties in controlled systems is provided in advance. However, in real-world systems, only partial distribution information can be acquired for SMPC. The discrepancy between the true distribution and the distribution assumed can result in sub-optimality or even infeasibility of the system. To address this, we present a novel distributionally robust data-driven MPC scheme to control stochastic nonlinear systems. We use distributionally robust constraints to bound the violation of the expected state-constraints under process disturbance. Sequential linearization is performed at each sampling time to guarantee that the system's states comply with constraints with respect to the worst-case distribution within the Wasserstein ball centered at the discrete empirical probability distribution. Under this distributionally robust MPC scheme, control laws can be efficiently derived by solving a conic program. The competence of this scheme for disturbed nonlinear systems is demonstrated through two case studies.
This paper considers the event-triggered (ET) platoon control of connected vehicles in the presence of actuator failures and DoS attacks. First, a historical attack-intensity-based ET mechanism is proposed to optimize...
详细信息
This paper introduces a structured approach for creating node signature graphs in energy graph-based visualization for industrial systems, focusing on anomaly detection. It examines the relationship between graph card...
详细信息
This paper introduces a structured approach for creating node signature graphs in energy graph-based visualization for industrial systems, focusing on anomaly detection. It examines the relationship between graph cardinality and the singular value decomposition analysis applied in the energy graph-based visualization method. The results reveal a trade-of between graph complexity and singular value resolution. The study highlights how graph structure affects energy flow monitoring and anomaly detection. It notably enables fault detection in components not represented as nodes, enhancing the methodology in energy-based system monitoring.
Lithium metal batteries are promising devices for the next-generation energy storage due to their ultrahigh theoretical specific capacity and extremely low electrochemical *** inherent problem is the formation of lith...
详细信息
Lithium metal batteries are promising devices for the next-generation energy storage due to their ultrahigh theoretical specific capacity and extremely low electrochemical *** inherent problem is the formation of lithium dendrites in cycling,which has induced safety concerns for almost half a *** understanding the formation mechanism of branching structures,we propose to suppress lithium dendrites by adopting external magnetic fields to induce diffusion enhancement at the interface of the anode,thus attenuating concentration gradient there and reducing the driving force for the formation of dendritic *** diffusion coefficient of lithium ions is dependent on the strength of magnetic fields,confirming the effectiveness of magnetic fields in improving Li^(+) *** employing the magnetic field of0.8 T,the concentration gradients at the growth front becomes nearly half of the control case,which leads to a dendrite-free lithium deposition up to the high current density of 10 mA cm^(-2).Both the Cu|LiCoO_(2) batteries and the symmetric Li | Li coin cells show a long-term stable cycling at high current densities under the assistance of magnetic *** diffusion enhanced technique promises a facile and general approach to suppress dendritic structures in secondary batteries,which may help to develop quick charging strategies.
暂无评论