On Adaptive Control of Unactuated Dynamical Systems through Interconnections with Stability and Performance Guarantees

Sustainable operation of public-private partnership (PPP) infrastructure projects that are characterized by considerable external benefits is of vital importance. However, a liquidity shock might trigger an inefficient liquidation of a project by the special purpose vehicle (SPV) and the bank, whose objectives are to maximize the profits generated by the project. This study argues that performance guarantee and subsidy policies implemented by the government play a role in encouraging socially efficient decision-making by the SPV and the bank to ensure the continuation of socially valuable projects. The results show that both government subsidy and performance guarantee policies are effective in avoiding the inefficient liquidation of PPP infrastructure projects when the external benefits are large and certain. However, a performance guarantee policy might lead to inefficient continuation when the external benefits of a project are uncertain. Finally, we discuss the possibility that an integrated policy combining performance guarantees and government subsidies improves the efficiency of a PPP infrastructure project.

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Neural Network Adaptive Control for Nonlinear Nonnegative Dynamical Systems

IEEE Transactions on Neural Networks ◽

10.1109/tnn.2004.841791 ◽

2005 ◽

Vol 16 (2) ◽

pp. 399-413 ◽

Cited By ~ 25

Author(s):

T. Hayakawa ◽

W.M. Haddad ◽

N. Hovakimyan ◽

V. Chellaboina

Keyword(s):

Neural Network ◽

Adaptive Control ◽

Dynamical Systems

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MODEL-BASED IDENTIFICATION AND ADAPTIVE CONTROL OF THE CORE MODULE IN A TYPICAL CELL CYCLE PATHWAY VIA NETWORK AND SYSTEM CONTROL THEORIES

Advances in Complex Systems ◽

10.1142/s0219525909002076 ◽

2009 ◽

Vol 12 (01) ◽

pp. 21-43 ◽

Cited By ~ 4

Author(s):

BINHUA TANG ◽

LI HE ◽

QING JING ◽

BAIRONG SHEN

Keyword(s):

Cell Cycle ◽

Adaptive Control ◽

Molecular Mechanisms ◽

Cell Cycle Control ◽

System Control ◽

Core Module ◽

Typical Cell ◽

And Performance ◽

Control Theories

The loss of cell cycle control is often associated with cancers and other different diseases. With the accumulation of omics data, the network for molecule interactions in the cell cycle process will become much clearer. The identification of the crucial modules in a giant network and investigation of inherent control relations are very important to the understanding of the molecular mechanisms of diseases for new drug design. The paper proposes novel techniques in analyzing such core regulatory modules based on network and system control theories. We initially define the degree of participation (DOP) and the rate of activity (ROA) for indentifying core module components, and then the diverse contribution elasticity functions for quantifying pairwise regulatory or control activities between those components, thus facilitating the decomposition of expanded core modules and the formation of feedback loops within the control schema. Motivated by the inherent regulatory mechanisms, we expound a kind of multiphase nonlinear adaptive control algorithm in repelling abnormal genetic mutations, which directly and indirectly impact cancer development in biological cells and organs. Experimental predictions are also elucidated within the work, helping those in vivo design, verification and performance evaluation.

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Adaptive control for nonnegative and compartmental dynamical systems with applications to general anesthesia

Proceedings of the 41st IEEE Conference on Decision and Control, 2002. ◽

10.1109/cdc.2002.1184329 ◽

2003 ◽

Author(s):

W.M. Haddad ◽

T. Hayakawa ◽

J.M. Bailey

Keyword(s):

Adaptive Control ◽

Dynamical Systems ◽

General Anesthesia

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A fault-tolerant control scheme within adaptive disturbance observer for hypersonic vehicle

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1177/0954410017746702 ◽

2017 ◽

Vol 233 (3) ◽

pp. 1071-1088 ◽

Cited By ~ 3

Author(s):

Jun Zhou ◽

Jing Chang ◽

Zongyi Guo

Keyword(s):

Disturbance Observer ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Lyapunov Theory ◽

Sliding Mode Controller ◽

Performance Guarantees ◽

Uncertain Model ◽

Control Scheme ◽

And Performance

The paper describes the design of a fault-tolerant control scheme for an uncertain model of a hypersonic reentry vehicle subject to actuator faults. In order to improve superior transient performances for state tracking, the proposed method relies on a back-stepping sliding mode controller combined with an adaptive disturbance observer and a reference vector generator. This structure allows for a faster response and reduces the overshoots compared to linear conventional disturbance observers based sliding mode controller. Robust stability and performance guarantees of the overall closed-loop system are obtained using Lyapunov theory. Finally, numerical simulations results illustrate the effectiveness of the proposed technique.

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