Agent Control

4 Sept 2026 The Agent Control Standard is a separate, complementary specification: an open framework for runtime enforcement that gives enterprises

Applications that integrate LLMs but don't use them to control workflow execution—think simple chatbots, single-turn LLMs, or sentiment classifiers—are not

13 May 2026 This paper introduces language-based agent control (LBAC a new programming model for agentic applications that brings techniques from

This paper first describes related research into control system architecture using multi-agent cooperation, then reports on the intelligent controller design

This paper presents a new architecture for controlling auton~xnous agents, building on previous work addressing reactive and deliberative control methods. The

3 Sept 2025 Govern Your Autonomous Agent Workforce. Covasant AI Agent Control Tower (AI ACT) monitors, governs, and optimizes your AI agents across

A multi-agent control framework is developed to reduce the engineering effort in a controller synthesis. Two distributed optimization algorithms are

30 Apr 2026 Agent Control Protocol (ACP) is a technical specification that defines the mechanisms by which autonomous institutional agents are identified

To effectively protect sensitive information, maintain compliance, and support secure collaboration, it's essential to address a range of security controls

This Opus Research report introduces the AI agent control plane — a coordinating layer that keeps journey state, identity, policy, knowledge, and evaluation

agent control tasks with dozens of agents required to complete col- laborative tasks and hundreds of agents present in the environment. To our knowledge

In contrast, the agent controller, presented in this paper, controls the AGVs by using rule based agents that act as tra c managers to allow or disallow mobile

27 Jun 2025 The large language model (LLM agent-based robot control system (LA-RCS) is a sophisticated robot control system designed to autonomously

19 Dec 2024 A task performed by an agent can be intercepted by a user to take over control of the task. These techniques enable users to easily distinguish

This work analyzes the performance of multi-agent control methods in devising pursuer cooperation strategies for pursuit- evasion games. The focus is on the ε−

distributed control systems based on autonomous and cooperative agents, exhibiting modularity, robustness, flexibility, adaptability and re-configurability

Abstract—Multi-agent systems (MAS) enable distributed prob- lem solving through autonomous agents; however, their adoption

10 Aug 2026 Content contained herein should be attributed as Risks and Controls for Multi-Agent. Systems: an analytical framework for deployment of AI

To that end, we address the issue of synthesizing a control architecture for multi-agent systems, subject to LTL specifications. We propose a control

is motivates the study of nonlinear control protocols for multi-agent systems with double-integrator dynamics, where the agents dynamics are subject to state